@article {Assad2016469, title = {On the deployment quality for multi-intrusion detection in wireless sensor networks}, journal = {Lecture Notes in Electrical Engineering}, volume = {381}, year = {2016}, note = {cited By 0}, pages = {469-478}, abstract = {The intrusion detection in a Wireless Sensor Network is defined as a mechanism to monitor and detect any intruder in a sensing area. The sensor deployment quality is a critical issue since it reflects the cost and detection capability of a wireless sensor network. When the random deployment is required, which sensor nodes are uniformly randomly distributed over on surface area, determining the deployment quality becomes challenging. In the intrusion detection application, it is necessary to define more precise measures of sensing range and node density that impact overall system performance. To enhance the detection quality for single/multi intrusion, a probabilistic intrusion detection models are adopted, called single and multi sensing probability detection and the deployment quality issue is surveyed and analysed in term of coverage. {\textcopyright} Springer International Publishing Switzerland 2016.}, doi = {10.1007/978-3-319-30298-0_48}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964066188\&doi=10.1007\%2f978-3-319-30298-0_48\&partnerID=40\&md5=5dca2bc944d09de42dd56334a955161e}, author = {Assad, N.a and Elbhiri, B.b and Faqihi, M.A.c and Ouadou, M.a and Aboutajdine, D.a} } @article {Assad2016991, title = {Efficient deployment quality analysis for intrusion detection in wireless sensor networks}, journal = {Wireless Networks}, volume = {22}, number = {3}, year = {2016}, note = {cited By 0}, pages = {991-1006}, abstract = {The intrusion detection in a Wireless Sensor Network is defined as a mechanism to monitor and detect any intruder in a sensing area. The sensor deployment quality is a critical issue since it reflects the cost and detection capability of a wireless sensor network. The quality of deterministic deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. In the intrusion detection application, it is necessary to define more precise measures of sensing range, transmission range, and node density that impact overall system performance. The major question is centred around the quality of intrusion detection in WSN, how we can guarantee that each point of the sensing area is covered by at least one sensor node, and what a sufficient condition to guarantee the network connectivity? In this paper, we propose an appropriate probabilistic model which provides the coverage and connectivity in k-sensing detection of a wireless sensor network. We have proved the capability of our approach using a geometric analysis and a probabilistic model. {\textcopyright} 2015, Springer Science+Business Media New York.}, doi = {10.1007/s11276-015-1015-z}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962534941\&doi=10.1007\%2fs11276-015-1015-z\&partnerID=40\&md5=6a1fff96c40ee0d1aa4f74e4d9c1a592}, author = {Assad, N.a and Elbhiri, B.b and Faqihi, M.A.c and Ouadou, M.a and Aboutajdine, D.a} } @article {Assad2015, title = {Analysis of the deployment quality for intrusion detection in wireless sensor networks}, journal = {Journal of Computer Networks and Communications}, volume = {2015}, year = {2015}, note = {cited By 0}, abstract = {The intrusion detection application in a homogeneous wireless sensor network is defined as a mechanism to detect unauthorized intrusions or anomalous moving attackers in a field of interest. The quality of deterministic sensor nodes deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. An area may require that multiple nodes monitor each point from the sensing area; this constraint is known as k-coverage where k is the number of nodes. The deployment quality of sensor nodes depends directly on node density and sensing range; mainly a random sensor nodes deployment is required. The major question is centred around the problem of network coverage, how can we guarantee that each point of the sensing area is covered by the required number of sensor nodes and what a sufficient condition to guarantee the network coverage? To deal with this, probabilistic intrusion detection models are adopted, called single/multi-sensing detection, and the deployment quality issue is surveyed and analysed in terms of coverage. We evaluate the capability of our probabilistic model in homogeneous wireless sensor network, in terms of sensing range, node density, and intrusion distance. {\textcopyright} 2015 Noureddine Assad et al.}, doi = {10.1155/2015/812613}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923884883\&doi=10.1155\%2f2015\%2f812613\&partnerID=40\&md5=ad555667d0db7cbc297aef916a17e0f5}, author = {Assad, N.a and Elbhiri, B.b and Faqihi, M.A.c and Ouadou, M.a and Aboutajdine, D.a} } @article {Assad2014324, title = {Short: Intrusion detection quality analysis for homogeneous wireless sensor networks}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {8593 LNCS}, year = {2014}, note = {cited By 0}, pages = {324-329}, abstract = {In this paper we analyze the intrusion detection in a homogeneous Wireless Sensor Network that is defined as a mechanism to monitor and detect unauthorized intrusions or anomalous moving attackers in area of interest. The quality of deterministic deployment can be determined sufficiently by analysis, before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging and depends directly on node density. The major question is centered on the network coverage problem, how can we guarantee that each point of the region is covered by the required number of sensors? To deal with this, probabilistic intrusion detection models are adopted, called single and multi sensing probability detection and the deployment quality issue is surveyed and analyzed in terms of coverage. We evaluate our probabilistic model in homogeneous wireless sensor network, in term of sensing range, node density, and intrusion distance. {\textcopyright} 2014 Springer International Publishing.}, doi = {10.1007/978-3-319-09581-3_24}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905899551\&doi=10.1007\%2f978-3-319-09581-3_24\&partnerID=40\&md5=e868b83abeca52460109a066d8ddde51}, author = {Assad, N.a and Elbhiri, B.b and El Fkihi, S.c and Faqihi, M.A.c and Ouadou, M.a and Aboutajdine, D.a} }