@article { ISI:000364992800006,
	title = {The Effectiveness of Reputation-Based Voting for Collusion Tolerance in Large-Scale Grids},
	journal = {IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING},
	volume = {12},
	number = {6},
	year = {2015},
	month = {NOV-DEC},
	pages = {665-674},
	abstract = {Large scale grids permit to share grid resources spread over different autonomous administrative sites in the internet. The rapid progress of grid systems opens the door for numerous companies to adopt this technology in their business development. This progress is characterized by the increasing openness and opportunity of resource-sharing across organizations in different domains. In the business context, these shared resources can be misused by some malicious users that can abuse the provided resources and make them behave maliciously to return wrong results and sabotage the jobs execution. The common technique used by most grid systems to deal with this problem is based on replication with voting. Nevertheless, these techniques rely on the assumption that the grid resources behave independently. They may be ineffective where a number of collusive resources collectively return the same wrong results of a job execution. In order to overcome this threat, we propose a reputation-based voting (RBV) approach, which investigates the trustworthiness of the grid resources through a reputation system, and then takes a decision about the results. In addition, the performance of our approach and other voting techniques, like m-first voting and credibility-based voting, are evaluated through simulation to perceive the effect of collusive grid resources on the correctness of the results. The obtained results show that our approach achieves a lower error-rate and better performance in terms of overhead.},
	issn = {1545-5971},
	doi = {10.1109/TDSC.2014.2369049},
	author = {Bendahmane, Ahmed and Essaaidi, Mohamed and El Moussaoui, Ahmed and Younes, Ali}
}
@article {5938723720101201,
	title = {REPUTATION-BASED MAJORITY VOTING FOR MALICIOUS GRID RESOURCES TOLERANCE.},
	journal = {Scalable Computing: Practice \& Experience},
	volume = {11},
	number = {4},
	year = {2010},
	pages = {385 - 392},
	abstract = {Recently, distributed computing infrastructures such as grid computing, have witnessed huge developments which have a very important impact on computationally intensive scientific, industrial and engineering problems. Collaborative computing, resources access and sharing facilitated by grid computing systems amplifies concerns about cyber attacks and misbehaviors of grid resources (resources provider). In many cases, an organization may send out jobs for remote execution on untrustworthy machines. Since resource sharing and cooperation among different administrative domains are among the central goals of grid computing, it is necessary to guarantee that, among the shared resources, there are no malicious resources interested in invalidating or corrupting the job results. In order to guarantee reliable jobs execution in grid systems, we have developed a new approach for malicious grid resources tolerance using reputation to improve the efficiency of majority voting mechanisms. The grid},
	keywords = {Computational grids (Computer systems), Distributed computing, Grid computing, Internet service providers, majority voting, malicious resources, Plurality voting, reputation, Service level agreements, tolerance, Web services},
	issn = {18951767},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=59387237\&site=ehost-live},
	author = {Bendahmane, Ahmed and Essaaidi, Mohammad and El Moussaoui, Ahmed and Younes, Ali}
}
