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FFED: a novel strategy based on fast entropy to detect attacks against trust computing in cloud

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Abstract

Trust management systems give way to trustworthy interactions in cloud computing. However, malicious cloud users can intentionally provide unfair ratings to benefit or reduce a cloud provider’s reputation. This paper proposes a novel detection strategy to supervise cloud users’ feedback and detect unfair rating attacks for cloud environments based on the Fast Entropy metric and named Feedback Fast Entropy-based Detection strategy (FFED). The provided detection system monitors users’ ratings in successive short periods, detects the unfair rating attacks rapidly in real-time using fast entropy algorithm and permits the scale effectively. Through the performed experimental tests, we prove the good performances of the introduced system and its advantages.

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Authors and Affiliations

  1. CRISTAL LAB, National School of Computer Science, Manouba, Tunisia

    Houda Guesmi, Anwar Kalghoum, Cherif Ghazel & Leila Azouz Saidane

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  1. Houda Guesmi
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  2. Anwar Kalghoum
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  3. Cherif Ghazel
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  4. Leila Azouz Saidane
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Guesmi, H., Kalghoum, A., Ghazel, C. et al. FFED: a novel strategy based on fast entropy to detect attacks against trust computing in cloud. Cluster Comput 24, 1945–1954 (2021). https://doi.org/10.1007/s10586-021-03233-3

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