@article {Dari2021112,
	title = {A novel approach for COVID-19 outbreak spread monitoring and control using smart grid technology},
	journal = {International Journal of Security and Networks},
	volume = {16},
	number = {2},
	year = {2021},
	note = {cited By 0},
	pages = {112-116},
	abstract = {The novel coronavirus SARS-COV-2 was discovered in November 2019, in China. On March, 2020, the WHO announced that COVID-19 could be characterised as a pandemic (WHO, 2020a). Then, it was rapidly spread from China to others countries. Coronavirus disease, COVID-19, is a viral infection that generates a severe acute respiratory syndrome with serious clinical symptoms given by such as fever, dry cough, and pneumonia (Kucharski et al., 2020). In addition, this virus is so widespread among people and it is difficult to control. To fight the rapid spread of new diseases like COVID-19, the support of technologies such as AI, big data, and IoT has proved to be very useful and provides better pandemic spread control tools. In this paper, we propose to leverage smart grid technology to detect COVID-19 cases clusters, to accelerate pandemic remote monitoring, and to predict probable virus future spread by collecting and analysing retrieved data. Copyright {\textcopyright} 2021 Inderscience Enterprises Ltd.},
	keywords = {Clinical symptoms, Computer viruses, Control tools, Coronaviruses, Disease control, Diseases, Electric power transmission networks, Monitoring and control, Remote monitoring, Severe acute respiratory syndrome, Smart Grid technologies, Smart power grids, Viral infections, Viruses},
	doi = {10.1504/IJSN.2021.116776},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112096964\&doi=10.1504\%2fIJSN.2021.116776\&partnerID=40\&md5=ce1f09dff4843caf87477ad80438183b},
	author = {Dari, E.Y. and Bendahmane, A. and Essaaidi, M.}
}
@article {Dari20211,
	title = {Verification-based data integrity mechanism in smart grid network},
	journal = {International Journal of Security and Networks},
	volume = {16},
	number = {1},
	year = {2021},
	note = {cited By 1},
	pages = {1-11},
	abstract = {The integration of open communication infrastructures and bidirectional communication between smart metres and utilities in smart grids is very important to support vast amounts of data exchange. It also increases the openness and opportunity of resource sharing across smart grid users, which makes the network vulnerable to several cyber-attacks. These cyber-attacks target smart metres data integrity through several known threats. The most known threats are false data injection (FDI) attacks that manipulate, modify or destroy data by some malicious users. Therefore, these attacks make the smart metres behave maliciously to return false data and to sabotage the system functions. In this paper, we propose a new approach to improve the integrity of data generated by smart metres in a smart grid, namely, verificationbased data integrity mechanism (VBDIM). The performance of our approach is evaluated through simulation to investigate the effects of collusive smart metres on the correctness of their generated data. The obtained results show that our approach achieves a lower blacklisting error and error-rate, and better performance in terms of overhead and slowdown. {\textcopyright} 2021 Inderscience Enterprises Ltd.. All rights reserved.},
	keywords = {Bi-directional communication, Computer crime, Crime, Data integrity, Electric power transmission networks, Electronic data interchange, False data injection, Network security, New approaches, Open communication, Resource sharing, Smart grid networks, Smart power grids, System functions},
	doi = {10.1504/IJSN.2021.112835},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100632953\&doi=10.1504\%2fIJSN.2021.112835\&partnerID=40\&md5=a38922b80a6dd1fbf545482cb986f641},
	author = {Dari, E.Y. and Bendahmane, A. and Essaaidi, M.}
}
@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.}
}
@conference {Bennasar2018,
	title = {An efficient approach to improve security for mapreduce computation in cloud system},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	doi = {10.1145/3230905.3230954},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053484978\&doi=10.1145\%2f3230905.3230954\&partnerID=40\&md5=4f5e011dfee21127dc4261dfecab9e00},
	author = {Bennasar, H. 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.}
}
