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Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems
by
Hanane Bennasar,
Mohammad Essaaidi,
Ahmed Bendahmane,
Jalel Ben-othman
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 30 |
| Year of Publication: 2019 |
| Authors: Hanane Bennasar, Mohammad Essaaidi, Ahmed Bendahmane, Jalel Ben-othman |
10.5120/ijca2019919186
|
Hanane Bennasar, Mohammad Essaaidi, Ahmed Bendahmane, Jalel Ben-othman . Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems. International Journal of Computer Applications. 178, 30 ( Jul 2019), 28-35. DOI=10.5120/ijca2019919186
@article{
10.5120/ijca2019919186,
author = {
Hanane Bennasar,
Mohammad Essaaidi,
Ahmed Bendahmane,
Jalel Ben-othman
},
title = { Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems },
journal = {
International Journal of Computer Applications
},
issue_date = { Jul 2019 },
volume = { 178 },
number = { 30 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = {
28-35
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume178/number30/30729-2019919186/
},
doi = { 10.5120/ijca2019919186 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:52.814826+05:30
%A Hanane Bennasar
%A Mohammad Essaaidi
%A Ahmed Bendahmane
%A Jalel Ben-othman
%T Optimized Replication Management with Reputation for Detecting Collusion in Large Scale Cloud Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 30
%P 28-35
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract
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.
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Index Terms
Computer Science
Information Sciences
Keywords