@article {10906318320150205,
	title = {Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks.},
	journal = {Journal of Computer Networks \& Communications},
	volume = {2015},
	year = {2015},
	pages = {1 - 7},
	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 int},
	keywords = {Intrusion detection systems (Computer security), Mathematical models, Probability theory, Wireless sensor networks, Wireless sensor nodes},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=109063183\&site=ehost-live},
	author = {Assad, Noureddine and Elbhiri, Brahim and Faqihi, Moulay Ahmed and Ouadou, Mohamed and Aboutajdine, Driss}
}
@article {10895165620150901,
	title = {A distributed protocol for privacy preserving aggregation with non-permanent participants.},
	journal = {Computing},
	volume = {97},
	number = {9},
	year = {2015},
	pages = {893 - 912},
	abstract = {Recent advances in techniques that combine and analyze data collected from multiple partners led to many new promising distributed collaborative applications. Such collaborative computations could occur between trusted partners, between partially trusted partners, or between competitors. Therefore preserving privacy is an important issue in this context. This paper presents a distributed protocol for privacy-preserving aggregation to enable computing a class of aggregation functions that can be expressed as Abelian group. The proposed protocol is based on an overlay structure that enables secret sharing without the need of any central authority or heavyweight cryptography. It preserves data privacy such that participant data is only known to their owner with a given probability. The aggregation result is computed by participants themselves without interacting with a specific aggregator. The aggregation result is accurate when there is no data loss. A strategy to handle the problem of},
	keywords = {68M14 Distributed systems, 68W15 Distributed algorithms, Acquisition of data, Aggregation protocol, Computer simulation, Distributed polling application, Privacy, Probability theory, Security, Subroutines (Computer programs)},
	issn = {0010485X},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=bth\&AN=108951656\&site=ehost-live},
	author = {Benkaouz, Yahya and Erradi, Mohammed}
}
