@article {Dari2020237,
	title = {Optimal method for detecting collusive saboteur smart meters in smart grid},
	journal = {Journal of Cyber Security and Mobility},
	volume = {9},
	number = {2},
	year = {2020},
	note = {cited By 1},
	pages = {237-264},
	abstract = {Smart grid is a system in which it is possible to use voting-based techniques to resist sabotage of several cyber-attacks. The adaptation of these techniques can be difficult and useless in the case when the malicious resources (i.e., smart meters) of this system can return wrong data in same time; however, the collusion problem is triggered. To detect and resolve the collusive issue, spot-checking technique has been proposed by sending randomly certain number of spotter queries to chosen resources with known correct data in order to estimate resource credibility based on the returned data. This work proposes an original method that resist against collusion attacks by using probability to solving a new spot-checking optimization problem for smart grid systems, with the objective to minimize probability of accepting wrong data (PAWD) while respecting an expected overhead constraint. The proposed solution contains an optimal combination of several parameters, the number of spotter queries sent, the number of resources tested by each spotter query, and the number of resources assigned to run the genuine query. The optimization procedure includes a new method for evaluating performance metrics of PAWD and expected overhead in terms of the total number of query assignments. To demonstrate the proposed optimization problem and solution procedure, we have provided several illustrative examples. {\textcopyright} 2020 the Author(s).},
	doi = {10.13052/JCSM2245-1439.923},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087053509\&doi=10.13052\%2fJCSM2245-1439.923\&partnerID=40\&md5=9a7e9e5d83a2d3e2e23041adf21fcaaa},
	author = {Dari, E.Y. and Bendahmane, A. and Essaaidi, M.}
}
@article {Bennasar201756,
	title = {An overview of the state-of-the-art of cloud computing cyber-security},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {10194 LNCS},
	year = {2017},
	note = {cited By 1},
	pages = {56-67},
	abstract = {We presented an overview of the state-of-the-art of cloud computing security which covers its essential challenges through the main different cyber-security threats, the main different approaches, algorithms and techniques developed to address them, as well as the open problems which define the research directions in this area. The bottom line is that the state of maturity of cloud computing security is very promising and there are many research directions still open and which promise continued improvements of cloud security and privacy. {\textcopyright} Springer International Publishing AG 2017.},
	doi = {10.1007/978-3-319-55589-8_4},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015229714\&doi=10.1007\%2f978-3-319-55589-8_4\&partnerID=40\&md5=4ac295660f32d3f09924ffcdac562634},
	author = {Bennasar, H. and Bendahmane, A. and Essaaidi, M.}
}
