@article {21227,
	title = {Cybersecurity Issues in Wireless Sensor Networks: Current Challenges and Solutions},
	journal = {Wireless Personal Communications (Springer, Impact Factor: 0,929)},
	volume = {2020},
	year = {2020},
	pages = {1-37},
	abstract = {
	Wireless sensor networks are deployed without predefined infrastructure and are generally left unattended. Indeed, the vulnerability of the wireless sensor networks to attacks comes principally from their inherent characteristics. As the data are transmitted over the air, it is very easy for an adversary to spy on traffic. Also, to meet the strict budgetary requirements, the sensor nodes tend to not be tamperproof and thus offer no protection against security attacks. Alongside with these vulnerabilities, the human intervention is always not allowed to deal with adversaries who attempt to compromise the network. Therefore, security systems are mainly needed to secure the network and ensure the protection against security threats. Indeed, cryptographic based systems are generally used to ensure security. However, due to the lack of memory and power (low computing, limited energy reserves) of the sensor nodes, most of these approaches are not suitable. Therefore, providing security while respecting the specific constraints of the sensors, represents one of the most important research issue in wireless sensor networks. Indeed, several studies have been conducted these last decades to propose lightweight and efficient security protocols for wireless sensor networks. In this paper, we review the most leading protocols and classify them based the addressed security issue. Also, we outline the main security constraints and challenges and present the future research directions based on the emerged application fields.

},
	url = {https://link.springer.com/article/10.1007/s11277-020-07213-5},
	author = {Djallel Eddine Boubiche and SamirAthmani and Sabrina Boubiche and Homero Toral-Cruz}
}
@article {21220,
	title = {EDAK: An Efficient Dynamic Authentication and Key Management Mechanism for heterogeneous WSNs},
	journal = { Future Generation Computer Systems  (Elsevier, Impact Factor: 5.768)},
	volume = {92},
	year = {2019},
	note = {Elsevier, 2019, \&nbsp;Impact factor: 5.768.},
	pages = {789-799},
	abstract = {
	Securing the network communication represents one of the most important challenges in\&nbsp;wireless sensor networks. The key distribution problem has been widely discussed in classical wireless sensor networks contrarily to heterogeneous ones. HWSNs (Heterogeneous Wireless Sensor Networks) have optimized the network capability and opened new security opportunities by introducing high resource capacity\&nbsp;sensor nodes\&nbsp;in the network. In this paper, an efficient dynamic authentication and\&nbsp;key Management scheme\&nbsp;is proposed for heterogeneous WSN. The main idea is to provide a single lightweight protocol for both authentication and key establishment while optimizing the security level. The key distribution algorithm is based on preexisting information to generate dynamic keys and does not require any secure channel and sharing phase which improves the security, energy efficiency and reduces the memory consumption. Experimental results have confirmed the performances of our mechanism compared to some of the existing security protocols.

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0167739X17315388},
	author = {SamirAthmani and Azeddine Bilami and Djallel Eddine Boubiche}
}
@article {21218,
	title = {Mobile crowd sensing\&ndash;Taxonomy, applications, challenges, and solutions.},
	journal = {Computers in Human Behavior ( Elsevier,  Impact factor: 4.306)},
	volume = {101},
	year = {2019},
	note = {\&nbsp;Elsevier, 2019, \&nbsp;Impact factor: 4.306},
	pages = {352-370},
	abstract = {
	Recently, mobile crowd sensing (MCS) is captivating growing attention because of their suitability for enormous range of new types of context-aware applications and services. This is attributed to the fact that modern smartphones are equipped with unprecedented sensing, computing, and communication capabilities that allow them to perform more complex tasks besides their inherent calling features. Despite a number of merits, MCS confronts new challenges due to network dynamics, the huge volume of data, sensing task coordination, and the user privacy problems. In this paper, a comprehensive review of MCS is presented. First, we highlight the distinguishing features and potential advantages of MCS compared to conventional\&nbsp;sensor\&nbsp;networks. Then, a taxonomy of MCS is devised based on sensing scale, level of user involvement and responsiveness, sampling rate, and underlying network infrastructure. Afterward, we categorize and classify prominent applications of MCS in environmental, infrastructure, social, and behavioral domains. The core architecture of MCS is also described. Finally, we describe the potential advantages, determine and reiterate the open research challenges of MCS and illustrate possible solutions

},
	url = {https://www.sciencedirect.com/science/article/pii/S0747563218305181},
	author = {Djallel Eddine Boubiche and Imran, M. and Maqsood, A and Shoaib, M}
}
@article {21618,
	title = {Renewable Energy Systems Based on Internet of Things},
	journal = {Energies International Journal},
	year = {2019},
	url = {https://www.mdpi.com/journal/energies/special_issues/Energy_System_IoT},
	editor = {Djallel Eddine Boubiche and George Dekoulis}
}
@article {21615,
	title = {Advanced Internet of Things for Renewable Energy Optimization},
	journal = {Applied Sciences International Journal  (Impact Factor: 2.217)},
	year = {2019},
	abstract = {
	The renewable energy field has attracted the attention of the researchers and the industrials communities these last decades, and a variety of optimization technologies have been introduced. Most of these technologies are based on improvements through mechanical engineering and physics. However, the continuous need for energy efficiency, productivity and cost-effectiveness have pushed towards the application of new renewable energy strategies inspired from other research fields. Recently, it has been proved that applying Internet of Thing (IoT) can optimize the management of the renewable energy resources by combining sensors and data analytics.



	Indeed, the renewable energy systems based on IoT can facilitate the communication between the renewable energy appliances to optimize the energy efficiency. For example, the energy regeneration will be switched from solar to wind turbine in a particularly cloudy day with a lot of wind. On the other side, IoT analytics have a significant effect on renewable energy outperforming. For instance, extracting data from solar panels may help to speed up the maintenance process and reduce the downtime.

},
	url = {https://www.mdpi.com/journal/applsci/special_issues/advanced_optimization},
	editor = {Djallel Eddine Boubiche and Jaime Lloret Mauri}
}
@article {21613,
	title = {High-Performance Information Technologies for Engineering Applications},
	journal = {International Journal of Computational Science and Engineering},
	volume = {19},
	number = {4},
	year = {2019},
	abstract = {
	Recent research developments have brought forward high-performance information technologies which include high-performance computing (HPC) and high-performance interconnection networks (HPINs). Resolving complex problems requires HPC, which involves use of parallel processing required to run complex application programs. HPC, or supercomputing, is a technology based on the use of supercomputers, which represent systems that perform at or near the current highest operational rate for computers. HPINs imply high-speed and large bandwidth data communication networks to optimise information exchange. Using HPINs, scientists can communicate, share experiments and results, and run simulations and programs on remote supercomputers at a high rate and capacity and with superior facilities. This special issue on {\textquoteleft}High-performance information technologies for engineering applications{\textquoteright} aims to present new advances and research results in the field of high-performance technologies and related areas. The topics covered in this special issue include: architectures for ubiquitous and pervasive HPC, cloud, distributed and grid computing, component technologies for HPC, HPINs, HPC in scientific, engineering, medical and social applications, internet and web computing and parallel and distributed algorithms. The special issue contains four papers. In the first paper, the authors Sundararaman and SubbuLakshmi address the job scheduling of scientific workflow applications in IaaS cloud and propose a job scheduling strategy called VMPROV to find the optimal number of virtual machines required to execute the jobs. Also, the authors introduce a priority-based round robin (PBRR) algorithm for resource mapping with minimal makespan and cost. The proposed algorithm considers the IaaS features such as pay per use, heterogeneous virtual environment and dynamic generation of virtual machines. Simulation experiments have been conducted with four real world scientific workflow applications to demonstrate the performances of VMPROV and PBRR algorithms compared with the classic algorithms in the schedule generation. The second paper, presented by Kortas and Arbia, points out how the cloud is less suitable for subcontracting components with real-time limitations and introduces a cloudlet architecture that offers a middleware framework to achieve minimal network latency. The authors evaluate the proposed cloudlet architecture based on the resource utilisation rate, the average execution time, the latency, the throughput and the lost packets within the local and distant connection. Additionally, a comparative performance study with similar services (MegaUpload and RapidShare) is presented. In the third paper, Manikandan and Subha present a parallel data processing approach for effective intensive care units (ICUs) with the internet of things. The main purpose is to improve efficiency and accuracy in data processing by applying a parallel decision tree algorithm in ICU data to take faster and accurate decisions on data selection. Indeed, the uses of parallelised algorithms optimise the process of collecting large sets of patient information. In addition, a decision tree algorithm is used for examining and extracting knowledge-based data from large databases. The IoT concept has been adopted by the authors for communicating the processing result to remote medical experts. The special issue is concluded with the paper by Bennour, Ettouil, Zarrouk and Abderrazak. In this paper, the authors point out the impact of the HPC and software parallelism in the optimisation meta-heuristics field. Also, the paper presents a study of the Java runtime performance on handling multi-thread PSO over general purpose multi-core machines and networked machines. In their analyses, the authors consider synchronous, asynchronous, single-swarm and multi-swarm PSO variants. We would like to thank all the authors for having submitted their research results for publication in this special issue. We believe that the papers published here reveal progress in the topic of high-performance information technologies. Also, we are very grateful for the collaboration of the reviewers and their influence of their expertise on the final quality. We sincerely thank Prof. Kuan-Ching Li, Editor of the International Journal of Computational Science and Engineering, for giving us the opportunity to prepare this special issue and his advice throughout this project. The support of the publisher with technical issues was also very welcome and assured good progress

},
	url = {https://www.inderscience.com/info/inarticletoc.php?jcode=ijcse\&year=2019\&vol=19\&issue=4},
	editor = {Djallel Eddine Boubiche and Azeddine Bilami and Homero Toral-Cruz and Kamaljit I. Lakhtaria}
}
@proceedings {21530,
	title = {Proposal of a new self-organizing protocol for data collection regarding Mobile Wireless Sensor and actor Networks},
	journal = {15th International Wireless Communications \& Mobile Computing Conference},
	year = {2019},
	pages = {985-990},
	address = {Tangier, Morocco},
	abstract = {
	Mobile Wireless Sensor and Actor Networks (MWSANs) can simply be defined as an extension of Wireless Sensor and Actor Networks (WSANs) in which the actor nodes are mobile. As such, in addition to challenges existing in WSAN, the mobility also imposes new challenges such as localization of actors, cooperative tracking of both actor-actor and actor-sensor collaboration, and communication infrastructure between distant actors. New communication protocols, specific to MWSANs, are needed. In this paper, we propose a self-organization and data collection protocol in order to provide energy efficiency, low latency, high success rate and suitably interactions between sensors and actors and take benefit from the mobility and resources existing on the network{\textquoteright}s actor nodes. The actor nodes move according to RWP mobility model. Each actor, during its pause time creates a temporary cluster, and is the head of it, collects and processes sensor data and performs actions on the environment based on the information gathered from sensor nodes in its cluster. Once an actor detects a base station it delivers the collected data to it. The simulations carried out (with TOSSIM tool), comfort us with good performances results.

},
	url = {https://ieeexplore.ieee.org/abstract/document/8766657},
	author = {Barka, K and Guezouli, L and Gourdache, S and Boubiche, D. E}
}
@conference {21529,
	title = {Self-organization Smart Protocol for Mobile Wireless Sensor Networks},
	booktitle = {15th International Wireless Communications \& Mobile Computing Conference},
	year = {2019},
	pages = {1002-1006},
	address = {Tangier, Morocco},
	abstract = {
	In this paper, we propose a novel self-organization protocol for wireless sensor networks (WSNs) assisted by Unmanned Aerial Vehicle (UAV or Drone) called SSP (Self-organization Smart Protocol). In order to provide energy efficiency, low latency, high success rate and suitably interactions between sensors and UAVs while taking advantage of the air mobility (fly) and resource available on the UAVs in the network. The UAVs move according to RWP (Random Waypoint) mobility model. Each UAV, during its pause time at a known height, creates a temporary cluster, and acts as its head, collects and processes sensor data and performs actions on the environment based on the information gathered from sensor nodes in its cluster. Once an UAV detects a base station (BS) it forwards the collected data to it. The results of the simulations show the high performance of the proposed algorithm.

},
	url = {https://ieeexplore.ieee.org/document/8766740},
	author = {Guezouli, L. and Barka, K. and Gourdache, S and Boubiche, D. E}
}
@article {21221,
	title = {A Novel Method for Polar Form of Any Degree of Multivariate Polynomials with Applications in IoT},
	journal = {Sensors (Impact Factor: 3.031)},
	volume = {19},
	number = {4},
	year = {2019},
	note = {Impact factor: 3.031},
	pages = {903},
	abstract = {
	Identification schemes based on multivariate polynomials have been receiving attraction in different areas due to the quantum secure property. Identification is one of the most important elements for the IoT to achieve communication between objects, gather and share information with each other. Thus, identification schemes which are post-quantum secure are significant for Internet-of-Things (IoT) devices. Various polar forms of multivariate quadratic and cubic polynomial systems have been proposed for these identification schemes. There is a need to define polar form for multivariate\&nbsp;dth degree polynomials, where\&nbsp;d>=4\&nbsp;. In this paper, we propose a solution to this need by defining constructions for multivariate polynomials of degree\&nbsp;d>=4\&nbsp;. We give a generic framework to construct the identification scheme for IoT and RFID applications. In addition, we compare identification schemes and curve-based cryptoGPS which is currently used in RFID applications.

},
	url = {https://www.mdpi.com/1424-8220/19/4/903},
	author = {Akleylek, S. and Soysald{\i}, M. and Boubiche, D. E. and oral-Cruz, H.}
}
@article {21219,
	title = {A multi-agent system for distributed maintenance scheduling},
	journal = {Computers \& Electrical Engineering (Elsevier, Impact factor: 2.189)},
	volume = {77},
	year = {2019},
	note = {Elsevier, 2019, \&nbsp;Impact factor: 2.189},
	pages = {1-11},
	abstract = {
	Due to the intrinsically geo-distributed subcontracting maintenance activity practice, the maintenance scheduling has for a long time been a major challenge in the industry. This research work presents a methodology to schedule the maintenance activities of geo-distributed assets. A multi-agent system based approach is proposed to enable the decision-making for the subcontractors in a distributed industrial environment under uncertainty. An auction based negotiation mechanism is designed to promote competition and cooperation among the different agents, and to obtain global good schedule.Compared to the\&nbsp;Weighted Shortest Processing Time first{\textendash}Heuristic{\textendash}Earliest Due Date (WSPT-H-EDD) method,\&nbsp;the experimental results show that the proposed approach is able to provide scheduling scheme with good performances in terms of Global Cost, Total Weighted Tardiness Cost and makespan

},
	url = {https://www.sciencedirect.com/science/article/pii/S004579061832620X$\#$aep-article-footnote-id1},
	author = {Hedjazi, D. and Layachi, F and Djallel Eddine Boubiche}
}
@inbook {21619,
	title = {Wireless Sensor Technology for Intelligent Data Sensing: Research Trends and Challenges},
	booktitle = {Intelligent Data Sensing and Processing for Health and Well-being Applications -1st Edition},
	volume = {1},
	year = {2018},
	pages = {41-58},
	abstract = {
	Wireless sensor technology has been recognized as one of the emerging technologies of this century widely used for intelligent data sensing. A\&nbsp;wireless sensor network\&nbsp;(WSN) is composed of several\&nbsp;sensor nodes, where the main objective of a sensor node is to collect information from its surrounding environment and transmit it to one or more points of centralized control, called\&nbsp;base stations\&nbsp;or sinks, for further analysis and processing. Limitations in WSN exist due to the restriction in its resources. Several approaches exist to increase the efficiency in communication and data acquisition in WSN. In this chapter, we describe data aggregation methods to optimize the data collection process and the sensor nodes. Additionally, we explain some interesting routing protocols that optimize communication among nodes in a WSN. Finally, we describe some strategies that would be useful to incorporate for sensor node mobility.




},
	url = {https://www.sciencedirect.com/science/article/pii/B9780128121306000032},
	author = {Djallel Eddine Boubiche and Joel A.Trejo-S{\'a}nchez and Homero Toral-Cruz and Jos{\'e} L.L{\'o}pez-Mart{\'\i}nez and Faouzi Hidoussi}
}
@article {21225,
	title = {A Flocking-Based on Demand Routing Protocol for Unmanned Aerial Vehicles},
	journal = {Journal of Computer Science and Technology  (Springer,  Impact Factor: 1.185)},
	volume = {33},
	year = {2018},
	note = {Springer, \&nbsp;Impact Factor: 1.185},
	pages = {263-276},
	abstract = {
	The interest shown by some community of researchers to autonomous drones or UAVs (unmanned aerial vehicles) has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.

},
	url = {https://link.springer.com/article/10.1007/s11390-018-1818-3},
	author = {Bahloul, N.E.H and Boudjit, S. and Abdennebi, M. and Boubiche, D. E.}
}
@article {21224,
	title = {Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks},
	journal = {IEEE Access  (Impact Factor: 4.098)},
	volume = {6},
	year = {2018},
	note = {Impact factor: 4.098},
	pages = {20558-20571},
	abstract = {
	The emergence of new data handling technologies and analytics enabled the organization of big data in processes as an innovative aspect in wireless sensor networks (WSNs). Big data paradigm, combined with WSN technology, involves new challenges that are necessary to resolve in parallel. Data aggregation is a rapidly emerging research area. It represents one of the processing challenges of big sensor networks. This paper introduces the big data paradigm, its main dimensions that represent one of the most challenging concepts, and its principle analytic tools which are more and more introduced in the WSNs technology. The paper also presents the big data challenges that must be overcome to efficiently manipulate the voluminous data, and proposes a new classification of these challenges based on the necessities and the challenges of WSNs. As the big data aggregation challenge represents the center of our interest, this paper surveys its proposed strategies in WSNs

},
	url = {https://ieeexplore.ieee.org/document/8353765},
	author = {Boubiche, S. and Boubiche, D. E. and Bilami, A. and Toral-Cruz, H.}
}
@article {21223,
	title = {Advanced Industrial Wireless Sensor Networks and Intelligent IoT},
	journal = {IEEE Communications Magazine ( Impact Factor: 10.356)},
	volume = {55},
	number = {2},
	year = {2018},
	note = {Impact factor: 10.356},
	pages = {14-15},
	abstract = {
	Examines the market for wireless sensor networks in the era and expansion of the Internet of Things. Over the past decade, the fast expansion of the Internet of Things (IoT) paradigm and wireless communication technologies has raised many scientific and engineering challenges that call for ingenious research efforts from both academia and industry. The IoT paradigm now covers several technologies beyond RFID and wireless sensor networks (WSNs). In fact, the number of potential application fields has already exceeded expectations. According to Cisco IBSG, more than 50 billion devices are expected to be connected to the Internet by 2020, with around 20 percent from the industry sector. Therefore, integrating the IoT concept and industrial WSNs (IWSNs) is an attractive choice for industrial processes, which may optimize operational efficiency, automation, maintenance, and rationalization. Moreover, IoT ensures large-scale interconnection between machines, computers, and people, enabling intelligent industrial operations. This emergent technological evolution has led to what has become the Industrial IoT (IIoT). IIoT will bring promising opportunities, along with new challenges

},
	url = {https://ieeexplore.ieee.org/document/8291108},
	author = {Boubiche, D. E. and Pathan, A. S. K and Lloret, J. and Zhou, H. and Hong, S. and Amin, S. O. and Feki, M. A}
}
@conference {21528,
	title = {Bio-Inspired on Demand Routing Protocol for Unmanned Aerial Vehicles},
	booktitle = {26th International Conference on Computer Communication and Networks (ICCCN},
	year = {2017},
	pages = {1-6},
	address = {Vancouver, BC, Canada},
	abstract = {
	The interest shown by some community of researchers to autonomous drones or UAVs (Unmanned Aerial Vehicles) has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we have proposed a bio-inspired routing protocol for UAVs called BR- AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. The performances of BR-AODV were evaluated and compared to those of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.

},
	url = {https://ieeexplore.ieee.org/document/8038487},
	author = {Nour El Houda Bahloul and Saadi Boudjit and Marwen Abdennebi and Djallel Eddine Boubiche}
}
@conference {21521,
	title = {In-Body Routing Protocols for Wireless Body Sensor Networks},
	booktitle = {10th International Conference on Developments in eSystems Engineering (DeSE)},
	year = {2017},
	pages = {160-165},
	address = {Paris, France},
	abstract = {
	Recent advances in wireless communication have led to the introduction of a novel network of miniaturized, low power, intelligent sensors that can be placed in, on, or around the body. This network is referred to as Wireless Body Area Network (WBAN). The main purpose of WBAN is to physiologically monitor patient{\textquoteright}s vital signs and consequently route the related data towards a base station. Since the environment of such a network is principally the human body, data routing mechanisms used in traditional wireless networks (e.g. WSN, WANET) need to be revised, and more restrictions have to be addressed in order to adapt it to WBAN routing challenges. Compared to those dedicated to on-body WBAN, in-body WBAN routing protocols have more constrains and restrictions and are expected to be efficient and robust. As better as we know, only few routing protocols have been proposed in literature and the research field stills underexplored. Therefore, in this paper we present an overview of the main existing routing protocols proposed for wireless in-body sensor networks (WIBSN).

},
	url = {https://ieeexplore.ieee.org/document/8285815},
	author = {Romaissa Bendjehich and Djallel Eddine Boubiche}
}
@proceedings {21493,
	title = {Proceedings of the 1st International Conference on Internet of Things and Machine Learning},
	journal = { IML 2017: International Conference on Internet of Things and Machine Learning},
	volume = {978-1-4503-5243-7},
	year = {2017},
	address = {Liverpool John Moores University (LJMU), UK},
	abstract = {
	The volume contains the proceedings of the first edition of the International Conference on Internet of Things and Machine Learning (IML{\textquoteright}17). The International Conference on Internet of Things and Machine Learning (IML{\textquoteright}17) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present their latest ideas and research results in any one of the IML{\textquoteright}17 topics. IML{\textquoteright}17 aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges, emerging technologies and progress in standards on topics relevant to today{\textquoteright}s fast moving areas of Internet of Things and Machine Learning.

},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3109761},
	author = {Hani Hamdan and Djallel Eddine Boubiche}
}
@proceedings {21490,
	title = {Proceedings of the Second International Conference on Internet of things and Cloud Computing},
	journal = {ICC {\textquoteright}17: Second International Conference on Internet of Things, Data and Cloud Computing},
	volume = {978-1-4503-4774-7},
	year = {2017},
	address = {Churchill College, Cambridge University, UK},
	abstract = {
	This volume contains the proceedings of the second edition of the International Conference on Internet of Things, Data and Cloud Computing (ICC 2017). The ICC 2017 conference represents an excellent opportunity for the students and the researchers, from both industrial and academic domains, having as main objective to present their latest ideas and research results in any one of the ICC 2017 topics.



	Due to the fast development of the cloud computing and the computer science technology, the researchers are more attracted to combine the Internet of Things (IoT) and the Data and Cloud Computing. The Internet of Things (IoT) paradigm is based on artificially-intelligent and self-configuring nodes (things) interconnected in a dynamic and global network infrastructure. Internet of things refers to the real world and to things with limited storage and processing ability. It also refers to the main problems concerning reliability, performance, security, and privacy. On the other hand, cloud computing provides huge capacities of storage and substantial processing power, that may solve the problems of most of the Internet of things technologies.



	ICC 2017 aims to provide a forum for the scientists to present their latest research results and perspectives for future works in the IoT, Data and Cloud Computing fields. The ICC 2017 conference is a scientific event, which gathered leading researchers and practitioners, who presented, exchanged, and discussed their original ideas. The ICC 2017 conference paper authors have provided high quality contributions reviewed by an international program committee featuring renowned international experts on a broad range of IoT, Data and Cloud Computing topics. More than 590 papers were submitted to the ICC 2017 conference from authors of 58 countries. Two or three reviewers were assigned to each paper and according to these reviews, 213 papers were accepted, which provides an acceptance rate of 36 \%.

},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3018896},
	author = {Hani Hamdan and Homero Toral-Cruz and Sedat Akleylek and Hamid Mcheick and Djallel Eddine Boubiche}
}
@article {21226,
	title = {PEAL: Power Efficient and Adaptive Latency Hierarchical Routing Protocol for Cluster-Based WSN},
	journal = {Wireless Personal Communications (Springer, Impact Factor: 0,929)},
	volume = {96},
	year = {2017},
	note = {(Springer, Impact Factor: 0,929)},
	pages = {4929-4945},
	abstract = {
	In wireless sensor networks, one of the most important constraints is the low power consumption requirement. For that reason, several hierarchical or cluster-based routing methods have been proposed to provide an efficient way to save energy during communication. However, their main challenge is to have efficient mechanisms to achieve the trade-off between increasing the network lifetime and accomplishing acceptable transmission latency. In this paper, we propose a novel protocol for cluster-based wireless sensor networks called PEAL (Power Efficient and Adaptive Latency). Our simulation results show that PEAL can extend the network lifetime about 47\% compared to the classic protocol LEACH (Low-Energy Adaptive Clustering Hierarchy) and introduces an acceptable transmission latency compared to the energy conservation gain.

},
	url = {https://link.springer.com/article/10.1007/s11277-017-4963-z},
	author = {Hidoussi Faouzi and Toral Homero and Djallel Boubiche}
}
@proceedings {21526,
	title = {Integrating Big data paradigm in WSNs},
	journal = {International Conference on Big Data and Advanced Wireless Technologies (BDAW)},
	year = {2016},
	address = {Blagoevgrad, Bulgaria},
	abstract = {
	WSNs consist of large number of small sensors densely deployed to monitor a phenomenon. Most of the data generated from the WSNs represent events happening at time intervals. Sometimes and according to the nature of the applications, this data stream is continuous and can reach high speeds. Therefore, adopting new techniques, platforms and tools to deal with this large amount of sensory data became necessary. Therefore, the Big Data paradigm can represent a good solution for the extraction, analysis, viewing, sharing, storage and transfer of such volume of data. This paper presents a survey on integrating Big Data tools for gathering, storing and analyzing the data generated by WSNs.



	\&nbsp;

},
	url = {https://dl.acm.org/citation.cfm?id=3017606},
	author = {Sabrina Boubiche and Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21523,
	title = {Toward Adaptive Data Aggregation Protocols in Wireless Sensor Networks},
	booktitle = {International Conference on Internet of things and Cloud Computing},
	year = {2016},
	address = {Churchill College, Cambridge University, United Kingdom},
	abstract = {
	Data aggregation has emerged as a basic concept in wireless sensor networks. By combining data and eliminating redundancy, this concept showed its effectiveness in terms of reducing resources consumption. The data aggregation problem is not new and has been widely studied in wireless sensor networks. However, most of the proposed solutions are based on a static data aggregation scheme and do not consider the network constraints evolution such as energy bandwidth, overhead and transmission delay. To dynamically optimize the tradeoff between the data aggregation process and the network constraints, a new paradigm has been introduced recently named the feedback control system. The main idea is to adapt the data aggregation degree to the environment changes and the sensor network applications. The feedback control for data aggregation remains relatively a new research area and only few works have introduced this concept. Therefore this work points out this research field by surveying the different existing protocols.



	\&nbsp;

},
	url = {https://dl.acm.org/doi/10.1145/2896387.2900325},
	author = {Djallel Eddine Boubiche and Sabrina Boubiche and Azzedine Bilami and Toral Homero}
}
@conference {21522,
	title = {Secure and Efficient Big Data Gathering in Heterogeneous Wireless Sensor Networks},
	booktitle = {International Conference on Internet of things and Cloud Computing},
	year = {2016},
	address = {Churchill College, Cambridge University, UK},
	abstract = {
	The emergence of heterogeneous wireless sensor networks in recent years has helped to address the limitations of conventional WSNs resources and has opened new research areas. When more than one type of node is integrated in a WSN, it is called heterogeneous. Placing heterogeneous nodes in a WSN is an effective way to increase the life of the network. While most of the existing civil and military applications of the heterogeneous WSNs are not materially different from their homogeneous counterparts, there are compelling reasons of incorporating the heterogeneity in the network. These reasons include: improving scalability of wireless sensor networks, reducing energy requirements without sacrificing performance, the equilibration of the cost and the network functionality, improving the security mechanisms using more complex protocols and supporting new broadband applications and big data.



	Recently, and because of the growth of the amount of data transmitted in the heterogeneous sensor networks, the term big data has emerged as a widely recognized trend. The term Big Data does not only concern the volume of data but also the high-speed transmission and the variety of information which are difficult to collect, store, and process using available technologies. Although the data generated by the individual sensors may not appear to be significant, all the data generated through the many sensors are capable of producing large volumes of data. The management of big data imposes additional constraints on WSNs. Effectively manage and secure big data gathering is a challenge in heterogeneous WSNs. Therefore, it represents an interesting research area. In this talk, I will address the emerging big data concept in heterogeneous wireless sensor networks and point out its main research issues.

},
	url = {https://dl.acm.org/doi/10.1145/2896387.2900334},
	author = {Djallel Eddine Boubiche}
}
@proceedings {21500,
	title = {Proceedings of the International Conference on Internet of things and Cloud Computing, ICC\&$\#$39;16},
	journal = {ICC {\textquoteright}16: International Conference on Internet of things and Cloud Computing},
	volume = {978-1-4503-4063-2},
	year = {2016},
	address = {Churchill College, Cambridge University, UK},
	abstract = {
	The volume contains the proceedings of the international conference on Internet of things and Cloud Computing (ICC{\textquoteright}2016). The international conference on Internet of things and Cloud Computing (ICC{\textquoteright}2016) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present their latest ideas and research results in any one of the ICC{\textquoteright}2016 topics.

},
	url = {https://dl.acm.org/doi/proceedings/10.1145/2896387},
	author = {Djallel Eddine Boubiche and Faouzi Hidoussi}
}
@proceedings {21495,
	title = {Proceedings of the International Conference on Big Data and Advanced Wireless Technologies},
	journal = {BDAW {\textquoteright}16: International Conference on Big Data and Advanced Wireless Technologies},
	volume = {978-1-4503-4779-2},
	year = {2016},
	address = {Blagoevgrad Bulgaria},
	abstract = {
	The last decades, the fast growth of the information and the communication technology has leaded to overwhelming amount of data pushing our communication network to its limit. The big data volume is produced from an assortment of users and wireless mobile technologies, and are to be processed and stored in powerful datacenters. Indeed, conventional wireless communication networks cannot deal with the massive amount of exchanged data and there is a strong demand to create a fast and scalable inter-connected heterogeneous wireless network for the big data. These advanced big data wireless networks should address all big data lifecycle (access networks, Internet backbone, intra and inter datacenter networks) and satisfy transmission QoS.

},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3010089},
	author = {Djallel Eddine Boubiche and Hani Hamdan}
}
@article {21476,
	title = {SDAW: secure data aggregation watermarking-based scheme in homogeneous WSNs},
	journal = {Telecommunication Systems (Springer, Impact factor: 1,163)},
	volume = {62},
	number = {2},
	year = {2016},
	note = {Springer, Impact factor: 1,163},
	pages = { pages277{\textendash}288},
	abstract = {Redundant data retransmission problem in wireless sensor networks (WSNs) can be eliminated using the data aggregation process which combines similar data to reduce the resource-consumption and consequently, saves energy during data transmission. In the recent days, many researchers have focused on securing this paradigm despite the constraints it imposes such as the limited resources. Most of the solutions proposed to secure the data aggregation process in WSNs are essentially based on the use of encryption keys to protect data during their transmission in the network. Indeed, the key generation and distribution mechanisms involve additional computation costs and consume more of energy. Considering this, in this paper, we propose a new security mechanism to secure data aggregation in WSNs called SDAW (secure data aggregation watermarking-based scheme in homogeneous WSNs). Our mechanism aims to secure the data aggregation process while saving energy. For this, the mechanism uses a lightweight fragile watermarking technique without encryption to insure the authentication and the integrity of the sensed data while saving the energy. The links between the sensor nodes and the aggregation nodes, and also the links between the aggregation nodes and the base station are secured by using the watermarking mechanism.},
	url = {https://link.springer.com/article/10.1007/s11235-015-0047-0},
	author = {Djallel Eddine Boubiche and Sabrina Boubiche and Homero Toral-Cruz and Al-Sakib Khan Pathan and Azzedine Bilami and SamirAthmani}
}
@article {21475,
	title = {An Outline of Data Aggregation Security in Heterogeneous Wireless Sensor Networks},
	journal = {Sensors (Impact Factor: 3.031)},
	volume = {16},
	number = {4},
	year = {2016},
	note = {Impact factor: 3,031.},
	pages = {525},
	abstract = {
	Data aggregation processes aim to reduce the amount of exchanged data in wireless sensor networks and consequently minimize the packet overhead and optimize energy efficiency. Securing the data aggregation process is a real challenge since the aggregation nodes must access the relayed data to apply the aggregation functions. The data aggregation security problem has been widely addressed in classical homogeneous wireless sensor networks, however, most of the proposed security protocols cannot guarantee a high level of security since the sensor node resources are limited. Heterogeneous wireless sensor networks have recently emerged as a new wireless sensor network category which expands the sensor nodes{\textquoteright} resources and capabilities. These new kinds of WSNs have opened new research opportunities where security represents a most attractive area. Indeed, robust and high security level algorithms can be used to secure the data aggregation at the heterogeneous aggregation nodes which is impossible in classical homogeneous WSNs. Contrary to the homogeneous sensor networks, the data aggregation security problem is still not sufficiently covered and the proposed data aggregation security protocols are numberless. To address this recent research area, this paper describes the data aggregation security problem in heterogeneous wireless sensor networks and surveys a few proposed security protocols. A classification and evaluation of the existing protocols is also introduced based on the adopted data aggregation security approach

},
	url = {https://www.mdpi.com/1424-8220/16/4/525},
	author = {Sabrina Boubiche and Djallel Eddine Boubiche and Azzedine Bilami and Homero Toral-Cruz}
}
@inbook {21621,
	title = {Wireless Sensor Networks},
	booktitle = {Encyclopedia of Information Science and Technology: 3rd Ed},
	year = {2015},
	publisher = {igi-global},
	organization = {igi-global},
	url = {https://www.igi-global.com/chapter/wireless-sensor-networks/113037},
	author = {Homero Toral-Cruz and Faouzi Hidoussi and Djallel Eddine Boubiche and Azeddine Bilami and Miroslav Voznak and Sergej Jakovlev}
}
@inbook {21620,
	title = {A Survey on Wireless Sensor Networks},
	booktitle = {Next Generation Wireless Network Security and Privacy},
	year = {2015},
	abstract = {
	Wireless sensor networks (WSN) have become one of the most attractive research areas in many scientific fields for the last years. WSN consists of several sensor nodes that collect data in inaccessible areas and send them to the base station (BS) or sink. At the same time sensor networks have some special characteristics compared to traditional networks, which make it hard to deal with such kind of networks. The architecture of protocol stack used by the base station and sensor nodes, integrates power and routing awareness (i.e., energy-aware routing), integrates data with networking protocols (i.e., data aggregation), communicates power efficiently through the wireless medium, and promotes cooperative efforts of sensor nodes (i.e., task management plane).

},
	url = {https://www.igi-global.com/chapter/a-survey-on-wireless-sensor-networks/139430},
	author = {Homero Toral-Cruz and Faouzi Hidoussi and Djallel Eddine Boubiche and Romeli Barbosa and Miroslav Voznak and Kamaljit I. Lakhtaria}
}
@conference {21525,
	title = {Advanced Wireless Networks},
	booktitle = {International Conference on Advanced Wireless Information and Communication Technologies (AWICT{\textquoteleft}15) },
	volume = {73},
	year = {2015},
	address = {ENISO, Tunisia},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050915035255},
	author = {Djallel Eddine Boubiche}
}
@conference {21524,
	title = {Cognitive Radio Sensor Networks: Challenges and Application Areas},
	booktitle = {International Conference on Intelligent Information Processing, Security and Advanced Communication, IPAC},
	year = {2015},
	address = {Batna, Algeria},
	abstract = {
	Wireless Sensor Networks (WSNs) are a class of technology represented with a set of sensor nodes. The main objective of these nodes is to collect data and monitor an environment{\textquoteright}s events. The basic tasks a node can handle are sensing data (humidity, temperature, fire, etc.), transmitting over short distances, and performing limited data processing. Common WSNs are used in many application fields. The limited resources of the WSNs (low processing capacity, memory and energy reserves) makes them underexploited compared to the WSNs{\textquoteright} spectrum utilization. Therefore their applications can be significantly increased by enhancing their performance. To address this challenge, cognitive radio sensor networks (CRSNs) examine how wireless sensor nodes with cognitive radio capabilities can address these performance challenges and improve the spectrum utilization. A new kind of WSN (CRSN) with better performance is created throgh the introduction of cognitive radio to traditional sensor networks. This new class of WSNS is more adapted to some specific applications which require more resources capabilities. In this talk, I will offer a perspective on the emerging field of cognitive radio sensor networks and its current applications

},
	url = {https://dl.acm.org/citation.cfm?id=2852765},
	author = {Djallel Eddine Boubiche}
}
@proceedings {21511,
	title = {Proceedings of the International Conference on Advanced Wireless Information and Communication Technologies},
	journal = {International Conference on Advanced Wireless Information and Communication Technologies (AWICT 2015)},
	volume = {73},
	year = {2015},
	address = {ENISO, Tunisia},
	url = {https://www.sciencedirect.com/journal/procedia-computer-science/vol/73},
	editor = {Djallel Eddine Boubiche and Hidoussi Faouzi and Toral Homero}
}
@proceedings {21506,
	title = {Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication},
	journal = {IPAC {\textquoteright}15: International Conference on Intelligent Information Processing, Security and Advanced Communication},
	volume = {978-1-4503-3458-7},
	year = {2015},
	address = {Batna Algeria},
	abstract = {
	The volume contains the proceedings of the international conference on Intelligent Information Processing, Security and Advanced Communication (IPAC{\textquoteright}2015). Intelligent information processing (IIP) is one of the most promising research areas due to the fast growing interest of the researcher{\textquoteright}s community and the multitude of its topics which offer excellent opportunities for novel researches. The rise of people{\textquoteright}s dependence specifically on advanced communication technologies incites developing high level of reliability, security and availability to ensure secure and reliable services and operations.

},
	url = {https://dl.acm.org/doi/proceedings/10.1145/2816839},
	author = {Djallel Eddine Boubiche and Faouzi Hidoussi}
}
@article {21483,
	title = {Centralized IDS Based on Misuse Detection for Cluster-Based Wireless Sensors Networks},
	journal = {Wireless Personal Communications (Springer, Impact Factor: 0,929)},
	volume = {85},
	year = {2015},
	pages = {207{\textendash}224},
	abstract = {
	
		\&nbsp;
	

	
		
			Despite of their energy efficiency, most of WSN{\textquoteright}s cluster-based routing protocols are vulnerable to security threats. Selective forwarding and black hole attacks are ranked among the most devastating attacks which they target this class of routing protocols. In this paper, a new centralized intrusion detection system is proposed to detect selective forwarding and black hole attacks in cluster-based wireless sensors networks. The main idea is the use of a centralized detection approach, where the base station decides on potential intrusions based on control packets sent from the cluster heads. The proposed intrusion detection technique is simple and energy efficient, it is thus suitable for sensor nodes with resource constrained. The simulation results confirm the expected performance of the proposed IDS in terms of security and energy efficiency.
		
	

	
		\&nbsp;
	

},
	url = {https://link.springer.com/article/10.1007/s11277-015-2734-2},
	author = {Faouzi Hidoussi and Toral Homero and Djallel Eddine Boubiche and Kamaljit Lakhtaria and Albena Mihovska and Miroslav Voznak}
}
@article {21482,
	title = {A Cross-Layer Communication Protocol with Transmission Power Adjustment for Energy Saving in Multi-hop MhWSNs},
	journal = {Wireless Personal Communications (Springer, Impact Factor: 0,929)},
	volume = {85},
	year = {2015},
	pages = {151-177},
	abstract = {
	
		Introducing a cross-layer scheme to optimize energy consumption in multi hop wireless sensor networks (MhWSNs) is a relatively new approach. Moreover and contrarily to the existing cross-layer MhWSNs architectures, this paper deals with a new cross-layer design based on three-ware cross-layer architecture which exploits an inversed interaction between network, link and physical layers. We propose a cross-layer and hybrid energy efficiency protocol (named CL-HEEP) with transmission power adjustment to preserve the energy reserves in multi-hop MhWSNs. The main idea is the use of routing information to dynamically adjust the transceiver transmission power and to establish cross-layer duty-cycling. An additional wake-up radio is also implied by CL-HEEP to preserve the energy while avoiding compulsory wake-up, idle listening, interference, and collision problems. The simulation reveals that CL-HEEP is energy-efficient and able to achieve significant performance improvement compared to other cross-layer protocols.
	

},
	url = {https://link.springer.com/article/10.1007/s11277-015-2732-4?wt_mc=email.event.1.SEM.ArticleAuthorOnlineFirst},
	author = {Djallel Eddine Boubiche and Azeddine Bilami and Sabrina Boubiche and Faouzi Hidoussi}
}
@article {21481,
	title = {A Cross-Layer Watermarking-Based Mechanism for Data Aggregation Integrity in Heterogeneous WSNs},
	journal = {IEEE Communications Letters, (Impact Factor: 3,457)},
	volume = {19},
	number = {5},
	year = {2015},
	note = {IEEE Communications Letters, (Impact Factor: 3,457)},
	pages = { 823 - 826},
	abstract = {
	Ensuring data aggregation integrity introduces new challenges for data aggregation security protocols in heterogeneous wireless sensor networks. In this paper, we propose an efficient watermarking based security strategy to ensure data aggregation integrity in heterogeneous WSNs. The proposed security scheme suggests a new fragile watermarking technique based on a dynamic embedding mechanism and a cross-layer approach. Compared to the existing heterogeneous security solutions, our system respects the resources limitations of the homogenous sensor nodes and optimizes the data aggregation process on the heterogeneous aggregation nodes. The proposal is evaluated using simulation.

},
	url = {https://ieeexplore.ieee.org/document/7055219?tp=\&arnumber=7055219\&url=http:\%2F\%2Fieeexplore.ieee.org\%2Fiel7\%2F4234\%2F5534602\%2F07055219.pdf\%3Farnumber\%3D7055219},
	author = {Djallel Eddine Boubiche and Sabrina Boubiche and Azeddine Bilami}
}
@conference {21597,
	title = {IDS based on Misuse Detection for Cluster-Based WSN},
	booktitle = {Networking and Electronic Commerce Research Conference (NAEC 2014)},
	year = {2014},
	address = {Trieste, Italy},
	url = {https://www.researchgate.net/publication/273762395_IDS_based_on_Misuse_Detection_for_Cluster-Based_WSN},
	author = {Faouzi Hidoussi and Homero Toral-Cruz and Djallel Eddine Boubiche}
}
@conference {21594,
	title = {An Efficient Fragile Watermarking-based Scheme to Secure Data Aggregation in Homogenous WSNs},
	booktitle = {Networking and Electronic Commerce Research Conference (NAEC 2014)},
	year = {2014},
	address = {Trieste, Italy},
	abstract = {
	Data aggregation in wireless sensor networks (WSNs) is an important paradigm which aims to eliminate the problem of redundant data transmission, by combining similar data. Consequently the resources consumption will be reduced. Securing this paradigm is a critical challenge due to constraints it imposes such as the limited resources. Several protocols have been proposed to secure data aggregation process in WSNs. Most of these proposed protocols suggest solutions to secure the communication links between the aggregation nodes and the base station and do not consider security in the low level where compromising the sensor nodes leads to corrupted sensed data, which may alter discreetly the aggregation result. In this paper, we propose a new security mechanism to secure data aggregation in WSNs. Our mechanism aims to secure the sensor nodes level using a lightweight fragile watermarking technique to insure authentication and integrity of sensed data and to secure the links between the nodes and the base station.

},
	url = {https://www.researchgate.net/publication/273762497_An_Efficient_Fragile_Watermarking-based_Scheme_to_Secure_Data_Aggregation_in_Homogenous_WSNs},
	author = {Sabrina Boubiche and Djallel Eddine Boubiche and Azeddine Bilami and SamirAthmani}
}
@conference {21593,
	title = {Feedback Control for Data Aggregation in Wireless Sensor Networks: A Survey},
	booktitle = {Networking and Electronic Commerce Research Conference (NAEC 2014)},
	year = {2014},
	address = {Trieste, Italy},
	url = {https://www.researchgate.net/publication/271130962_Feedback_Control_for_Data_Aggregation_in_Wireless_Sensor_Networks_A_Survey},
	author = {Djallel Eddine Boubiche and Sabrina Boubiche and Azeddine Bilami and Homero Toral-Cruz}
}
@conference {21603,
	title = {Hierarchical Energy Efficient Intrusion Detection System for Black Hole Attacks in WSNs},
	booktitle = {International Conference on Networking and Grid Cloud Computing (IEEE ICNGCC)},
	year = {2013},
	address = {Sousse, Tunisia},
	abstract = {
	Due to their particular characteristics, wireless sensor networks (WSN) are severely vulnerable to malicious attacks. Black hole is one of the most malicious attacks that target sensors routing protocols. This kind of attacks can have devastating impact on hierarchical routing protocols. Several security solutions have been proposed to secure WSNs from black hole attacks. However, most of these solutions are complex and energy inefficient. In this paper we propose a hierarchical energy efficient intrusion detection system, to protect sensor network from black hole attacks. Our approach is simple and based on control packets exchange between sensor node and base station. We have experimentally evaluated our system using the NS simulator to demonstrate its effectiveness in detecting and preventing efficiently the black hole attacks.

},
	url = {https://ieeexplore.ieee.org/document/6618693},
	author = {SamirAthmani and Djallel Eddine Boubiche and Azeddine Bilami}
}
@conference {21599,
	title = {Hierarchical Energy Efficient Intrusion Detection System for Selective Forwarding Attacks in WSNs},
	booktitle = {1st International Conference on Networking and Advanced Systems (ICNAS{\textquoteright} 13)},
	year = {2013},
	address = {Anaba, Algeria},
	url = {https://www.researchgate.net/publication/273762780_Hierarchical_Energy_Efficient_Intrusion_Detection_System_for_Selective_Forwarding_Attacks_in_WSNs},
	author = {SamirAthmani and Djallel Eddine Boubiche and Azeddine Bilami}
}
@article {21486,
	title = {CROSS LAYER INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORK},
	journal = {International Journal of Network Security \& Its Applications (IJNSA)},
	volume = {4},
	number = {2},
	year = {2013},
	pages = {35-52},
	abstract = {
	The wireless sensor networks (WSN) are particularly vulnerable to various attacks at different layers of the protocol stack. Many intrusion detection system (IDS) have been proposed to secure WSNs. But all these systems operate in a single layer of the OSI model, or do not consider the interaction and collaboration between these layers. Consequently these systems are mostly inefficient and would drain out the WSN. In this paper we propose a new intrusion detection system based on cross layer interaction between the network, Mac and physical layers. Indeed we have addressed the problem of intrusion detection in a different way in which the concept of cross layer is widely used leading to the birth of a new type of IDS. We have experimentally evaluated our system using the NS simulator to demonstrate its effectiveness in detecting different types of attacks at multiple layers of the OSI model

},
	url = {http://airccse.org/journal/nsa/0312nsa03.pdf},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@article {21484,
	title = {A Defense Strategy against Energy Exhausting Attacks in Wireless Sensor Networks},
	journal = {Journal of Emerging Technologies in Web Intelligence},
	volume = {5},
	year = {2013},
	pages = {18-27},
	abstract = {One of the most challenging issues in wireless sensor networks is resilience against malicious attacks. Since energy is the most precious resource for these networks, Denial of sleep attacks is recognized as one of the most serious threats. Such attacks exhaust power supply of sensor nodes and can reduce the sensor lifetime from years to days. Authentication and encryption solutions have been proposed to protect the network from denial of sleep attacks. Though, the resources constraint motivates the use of simpler solutions to the same security challenges. In this paper, we survey different types of denial of sleep attacks and we propose a cross layer energy efficient security mechanism to protect the network from these attacks. The cross layer interaction between network Mac and physical layers is mainly exploited to identify the intruders{\textquoteright} nodes and prevent sensor nodes from energy exhaust attacks. Simulation results indicate that our proposal is energy efficient and can significantly reduce the effect of denial of sleep attacks.\&nbsp;},
	url = {https://pdfs.semanticscholar.org/d71e/33a70b92559e6bdc710515f8cb046c7626bb.pdf?_ga=2.231687263.1160609411.1587813445-935666485.1586888041},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21606,
	title = {Un Protocole de Communication Cross Layer pour l\&rsquo;{\'e}conomie d\&rsquo;{\'e}nergie dans les RCSFs},
	booktitle = {JEESI12},
	year = {2012},
	address = {ESI Oued-Smar, Alger},
	url = {https://www.researchgate.net/publication/273762737_Un_Protocole_de_Communication_Cross_Layer_pour_l{\textquoteright}economie_d{\textquoteright}energie_dans_les_RCSFs},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21605,
	title = {A Cross-Layer Energy-efficient Transmission Power Control Mechanism for Wireless Sensor Networks},
	booktitle = {2nd International Symposium on Modelling and Implementation of Complex Systems (MISC12},
	year = {2012},
	pages = {97-101},
	address = {Constantine, Algeria},
	url = {https://www.researchgate.net/publication/273762674_A_Cross-Layer_Energy-efficient_Transmission_Power_Control_Mechanism_for_Wireless_Sensor_Networks},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21604,
	title = {A Cross Layer Energy Efficient Security Mechanism for Denial of Sleep Attacks on Wireless Sensor},
	booktitle = {Networked Digital Technologies (NDT12)},
	year = {2012},
	note = {Selected Best paper},
	pages = {151-164},
	address = {Dubai - UAE},
	abstract = {
	
		Wireless sensor networks are particularly exposed to several kinds of attacks. Due to resources constrained property in WSN, Denial of sleep attacks is recognized as one of the most serious threats. Attacks of this type exhaust power supply of sensor nodes and reduce the sensor lifetime. Most of existing researches propose authentication and encryption solutions to protect the network from denial of sleep attacks. However, it is more efficient to use simpler solutions to the same security challenges due to limited processing capability, memory storage, and energy capacity. In this paper we propose a cross layer energy-efficient security mechanism to protect the network from these attacks. Simulation reveals that our proposal is energy efficient and able to achieve significant performance in term of preventing network nodes from different denial of sleep attacks.
	

},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-30567-2_13},
	author = {Djallel Eddine Boubiche and Azeddine Bilami and SamirAthmani}
}
@conference {21602,
	title = {Un syst{\`e}me de d{\'e}tection d\&rsquo;intrusion hi{\'e}rarchique bas{\'e} sur une approche de d{\'e}tection hybride},
	booktitle = {International Conference on Advanced Communication and Information Systems (ICACIS)},
	year = {2012},
	address = {Batna, Algeria},
	url = {https://www.researchgate.net/publication/273762571_Un_systeme_de_detection_d{\textquoteright}intrusion_hierarchique_base_sur_une_approche_de_detection_hybride},
	author = {Faouzi Hidoussi and Djallel Eddine Boubiche and Azzedine Bilami}
}
@article {21487,
	title = {HEEP (Hybrid Energy Efficiency Protocol) based on chain clustering},
	journal = {International Journal of Sensor Networks (Impact Factor: 0.975)},
	volume = {10},
	number = {1},
	year = {2011},
	pages = {25 - 35},
	abstract = {
	Wireless Sensor Networks have emerged as a new information-gathering system based on the collaborative efforts of large number of tiny sensors with limited resource. Energy constraints distinguish sensors networks from other wireless communication networks. Energy efficiency and network lifetime have been the focus of many research works on sensor networks, such as energy aware routing. This paper suggests a new routing protocol called HEEP which combines two algorithms: LEACH and PEGASIS. HEEP advise a new network self-organisation approach, that join clusters-based and the chain-based approaches. This new approach is called chains clustering approach. Organising the network nodes in chains clusters avoids the bad energy dissipation in LEACH protocol and reduces the routing delay generated by PEGASIS protocol. The experimental results show that HEEP outperforms LEACH and LEACH-C with more 110\% of network lifetime, and reduces the routing delay introduced in PEGASIS by 50\%.

},
	url = {https://www.inderscience.com/info/inarticle.php?artid=40901},
	author = {Djallel Eddine Boubiche and Azeddine Bilami}
}
@conference {21608,
	title = {M{\'e}canisme d\&rsquo;authentification pour la S{\'e}curit{\'e} dans les RCSF\&ldquo;, Proceeding of International Conference on Next Generation Networks and services (NGNS\&rsquo;10)},
	booktitle = {International Conference on Next Generation Networks and services (NGNS{\textquoteright}10)},
	year = {2010},
	address = {Marrakech-Maroc},
	url = {https://www.researchgate.net/publication/273762611_Mecanisme_d{\textquoteright}authentification_pour_la_Securite_dans_les_RCSF},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21607,
	title = {M{\'e}canisme de Contr{\^o}le d\&rsquo;Authentification pour la S{\'e}curit{\'e} dans  les RCSF},
	booktitle = {Journ{\'e}es d{\textquoteright}Etudes Doctorales JED{\textquoteright}10 },
	year = {2010},
	pages = {60-66},
	address = {Anaba},
	url = {https://www.researchgate.net/publication/273762683_Mecanisme_de_Controle_d{\textquoteright}Authentification_pour_la_Securite_dans_les_RCSF},
	author = {SamirAthmani and Azzedine Bilami and Djallel Eddine Boubiche}
}
@conference {21611,
	title = {Une approche hybride  dans le routage pour une {\'e}conomie d\&rsquo;{\'e}nergie dans les R.C.S.F},
	booktitle = {6 {\`e}me S{\'e}minaire National en Informatique Biskra  (SNIB08)},
	year = {2008},
	pages = {125-130},
	address = {Biskra - Algeria},
	url = {https://www.researchgate.net/publication/273762763_Une_approche_hybride_dans_le_routage_pour_une_economie_d{\textquoteright}energie_dans_les_RCSF},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21610,
	title = {Protocole de Routage {\`a} Base de Clusters {\`a} Cha{\^\i}nes Statiques dans les R.C.S.F},
	booktitle = {1stWorkshop on Next Generation Networks: Mobility (WNGN 2008)},
	year = {2008},
	address = {F{\`e}s-Maroc},
	author = {Djallel Eddine Boubiche and Azzedine Bilami}
}
@conference {21609,
	title = {A hybrid Energy Aware Routing Algorithm for Wireless Sensor Networks},
	booktitle = {The Thirteenth IEEE Symposium on Computers and Communications (ISCC{\textquoteright}08)},
	year = {2008},
	pages = {975-980},
	address = {Marrakech-Maroc},
	abstract = {
	One of the weaknesses of wireless sensors networks (WSN) is the limit of energy which affects networkpsilas lifetime. To increase the lifetime of the sensor network, this paper suggests a new routing approach which combines two algorithms: LEACH and PEGASIS. In our proposal, nodes belonging to the same cluster form a chain where nodes communicate only with their closest neighbors, so that energy dissipation within clusters can be minimized and consequently, lifetime of the network can be improved. Simulations using Network Simulator ns2 have been conducted to study the behavior of our routing algorithm. Its performances are evaluated and compared to those of different existing algorithms (LEACH, LEACH-C, and PEGASIS).

},
	url = {http://ieeexplore.ieee.org/document/4625739/},
	author = {Azeddine Bilami and Djallel Eddine Boubiche}
}
