Feedback entropy: A new metric to detect unfair rating attacks for trust computing in cloud environments

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Trust management systems provide a means for trustworthy interactions in cloud environments. However, trust establishment could be compromised when malicious cloud users intentionally provide unfair feedbacks to decrease the reputation of some cloud providers or to benefit others. In this paper, we define 'Feedback Entropy' as a newmetric to detect unfair rating attacks. As such, we propose a new detection system able to detect unfair rating attacks by monitoring users' feedbacks during short periods of time. Our proposed approach is designed to detect rapidly such attacks at the point in time they appear and to scale effectively with the increase of the number of feedbacks. Experimental results prove the advantages of the introduced metric and the good performance of the proposed detection system.

Original languageEnglish
Title of host publicationProceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages538-545
Number of pages8
ISBN (Electronic)9781509049059
DOIs
StatePublished - 7 Sep 2017
Externally publishedYes
Event16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 - Sydney, Australia
Duration: 1 Aug 20174 Aug 2017

Publication series

NameProceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

Conference

Conference16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
Country/TerritoryAustralia
CitySydney
Period1/08/174/08/17

Keywords

  • Cloud computing
  • Entropy
  • Robustness of trust management systems
  • Unfair rating attacks

Fingerprint

Dive into the research topics of 'Feedback entropy: A new metric to detect unfair rating attacks for trust computing in cloud environments'. Together they form a unique fingerprint.

Cite this