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Tight Bound on Incnetive Ratio for Sybil Attack in Resource Sharing System

  • Zhou Chen
  • , Yukun Cheng
  • , Xiaotie Deng
  • , Qi Qi
  • , Xiang Yan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this article, we discuss the Sybil attack on a sharing-based economic system where each participant contributes its own resource for all to share. Such an attack is possible especially in the cloud computing model where agents can exchange information with the cloud and obtain aggregated information from it. We are interested in the robustness of the market equilibrium mechanism against such an attack. We adopt the incentive ratio to measure the gain that a participant can make by splitting its identity and reconstructing communication connections with others. On one hand, we show that no player can increase more than √2 times its original share in the market equilibrium solution by characterizing the worst case, in which a strategic agent can obtain the maximal gain in utility by playing the Sybil attack. On the other hand, the bound of √2 is proved to be tight by constructing a proper instance. We also simulate on a series of random graphs and observe that the incentive ratio was no more than two in the general setting. © 2020 IEEE.
Original languageEnglish
Pages (from-to)913-924
Number of pages12
JournalIEEE Transactions on Cloud Computing
Volume10
Issue number2
Online published2 Apr 2020
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Funding

This work was supported in part by the National Nature Science Foundation of China (No. 61761146005,11871366, 61803279, 61632017), the Research Grant Council of Hong Kong (ECS Project No. 26200314, GRF Project No. 16213115, and GRF Project No.16243516), and the Grant of USTS No. XKZ2017003.

Research Keywords

  • Game theory
  • incentive ratio
  • market equilibrium mechanism
  • resource sharing

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