The Effectiveness of Reputation-Based Voting for Collusion Tolerance in Large-Scale Grids

Bendahmane, Ahmed; Essaaidi, Mohamed; Moussaoui, Ahmed; Younes, Abdunnaser

doi:10.1109/tdsc.2014.2369049

Cited by 9 publications

(8 citation statements)

References 24 publications

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“…In this approach, A. Bendahmane et al [4] improve the credibility-based voting technique using a spot checking technique. The basic idea of RBV is to check the computing resources without assigning spotter jobs and to consider the result of voting decision as the one of spot-checking to estimate the credibility without more computations.…”

Section: Reputation Based Votingmentioning

confidence: 99%

“…During the last few years, the problem of collusion tolerance in large scale distributed computing has been addressed by many researches. Bendahmane et al proposed [4] a voting method in order to deal with the collusion problem in large scale grid computing systems. Reputation based voting is an implementation of credibility-based voting and spot-checking.…”

Section: Related Workmentioning

confidence: 99%

“…To compare our approach with other sabotage tolerance mechanisms, especially with RBV approach [4] [24] [25], Table 2 shows the simulations parameters. Fig 1. allows the determination of the optimized tolerance value.…”

Section: Tolerance Thresholdmentioning

confidence: 99%

“…Recently, several approaches were introduced to deal with collusion issues. A. Bendahmane et al [4] proposed the Reputation-based Voting (RBV) scheme that enhances the credibility-based voting to solve the sabotage of computing resources.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems

Bennasar¹,

Essaaidi²,

Bendahmane³

et al. 2019

IJCA

Self Cite

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Several cloud computing systems used voting techniques to deal with sabotage issues. However, these techniques become inefficient, and present some new security vulnerabilities when malicious resources collude and return the same wrong result. Usually, this kind of security threats are handled using several techniques and approaches such as voting techniques. In this paper, a very efficient approach to overcome sabotage issues is proposed, especially in the case of very complex attacks. The performances of this approach are evaluated in a cloud system model and it is compared against other voting techniques, like reputation-based voting, using simulations which allowed to investigate the effect of collusive cloud resources on the correctness of the results. The obtained results show that the proposed approach achieves lower error rates and enhanced performances in terms of overhead and slowdown. General TermsCyber-security.

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Section: Reputation Based Votingmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Tolerance Thresholdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems

Bennasar¹,

Essaaidi²,

Bendahmane³

et al. 2019

IJCA

Self Cite

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“…However, these typically assess probability of integrity violation (attackers being able to corrupt the result of a vote, or to avoid detection of corrupt behaviour by compromised copies of a process), and trade-offs with cost and performance overheads, or between reliability of voted results in the presence and in the absence of attacks. A few recent examples are in [12], [13], [14], [15], [16].…”

Section: ; > < ; ? mentioning

confidence: 99%

Diversity, Safety and Security in Embedded Systems: Modelling Adversary Effort and Supply Chain Risks

Gashi

Povyakalo

Strigini

2016

2016 12th European Dependable Computing Conference (EDCC)

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Abstract-We present quantitative considerations for the design of redundancy and diversity in embedded systems with security requirements. The potential for malicious activity against these systems have complicated requirements and design choices. New design trade-offs have arisen besides those already familiar in this area: for instance, adding redundancy may increase the attack surface of a system and thus increase overall risk. Our case study concerns protecting redundant communications between a control system and its controlled physical system. We study the effects of using: (i) different encryption keys on replicated channels, and (ii) diverse encryption schemes and implementations. We consider two attack scenarios, with adversaries having access to (i) ways of reducing the search space in attacks using random searches for keys; or (ii) hidden major flaws in some crypto algorithm or implementation. Trade-offs between the requirements of integrity and confidentiality are found, but not in all cases. Simple models give useful design insights. In this system, we find that key diversity improves integrity without impairing confidentiality -no trade-offs arise between the two -and it can substantially increase adversary effort, but it will not remedy substantial weaknesses of the crypto system. Implementation diversity does involve design trade-offs between integrity and confidentiality, which we analyse, but turns out to be generally desirable for highly critical applications of the control system considered.

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An Overview of the State-of-the-Art of Cloud Computing Cyber-Security

Bennasar

Bendahmane

Essaaidi

2017

Lecture Notes in Computer Science

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The Effectiveness of Reputation-Based Voting for Collusion Tolerance in Large-Scale Grids

Cited by 9 publications

References 24 publications

Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems

Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems

Diversity, Safety and Security in Embedded Systems: Modelling Adversary Effort and Supply Chain Risks

An Overview of the State-of-the-Art of Cloud Computing Cyber-Security

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