EARS: Enabling Private Feedback Updates in Anonymous Reputation Systems

Vishnu Teja Kilari, Ruozhou Yu, Satyajayant Misra, Guoliang Xue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reputation systems, designed to remedy the lack of information quality and assess credibility of information sources, have become an indispensable component of many online systems. A typical reputation system works by tracking all information originating from a source, and the feedback to the information with its attribution to the source. The tracking of information and the feedback, though essential, could violate the privacy of users who provide the information and/or the feedback, which could both cause harm to the users' online well-being, and discourage them from participation. Anonymous reputation systems have been designed to protect user privacy by ensuring anonymity of the users. Yet, current anonymous reputation systems suffer from several limitations, including but not limited to a)lack of support for core functionalities such as feedback update, b) lack of protocol efficiency for practical deployment, and c) reliance on a fully trusted authority. This paper proposes EARS, an anonymous reputation system that ensures user anonymity while supporting all core functionalities (including feedback update) of a reputation system both efficiently and practically, and without the need of a fully trusted central authority. We present security analysis of EARS against multiple types of attacks that could potentially violate user anonymity, such as feedback duplication, bad mouthing, and ballot stuffing. We also present evaluation of the efficiency and scalability of our system based on implementations.

Original languageEnglish (US)
Title of host publication2020 IEEE Conference on Communications and Network Security, CNS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147604
DOIs
StatePublished - Jun 2020
Event2020 IEEE Conference on Communications and Network Security, CNS 2020 - Virtual, Online, France
Duration: Jun 29 2020Jul 1 2020

Publication series

Name2020 IEEE Conference on Communications and Network Security, CNS 2020

Conference

Conference2020 IEEE Conference on Communications and Network Security, CNS 2020
CountryFrance
CityVirtual, Online
Period6/29/207/1/20

Keywords

  • Reputation system
  • anonymity
  • privacy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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