Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback\n Extortion in Online Auctions

Abstract

In this paper, we study methods for improving the utility and privacy of\nreputation scores for online auctions, such as used in eBay, so as to reduce\nthe effectiveness of feedback extortion. The main ideas behind our techniques\nare to use randomization and various schemes to escrow reputations scores until\nappropriate external events occur. Depending on the degree of utility and\nprivacy needed, these external techniques could depend on the number and type\nof reputation scores collected. Moreover, if additional privacy protection is\nneeded, then random sampling can be used with respect reputation scores in such\na way that reputation aggregates remain useful, but individual reputation\nscores are probabilistically hidden from users. Finally, we show that if\nprivacy is also desired with respect to the the reputation aggregator, then we\ncan use zero-knowledge proofs for reputation comparisons.\n