Blockchain-based Reputation Evaluation Using Game Theory in Social Networking

Wenjie Guo, Jingfeng Xue, Yong Wang, Zhixiong Zhou

Abstract: Reputation evaluation is one of vital elements in contemporary social network-based applications. A common type of evaluation method is relying on the third party or a community-based rating. However, this type of method is encountering an issue caused by fake comments posted by adversaries. In this paper, we propose a blockchain-based reputation evaluation approach that uses game theory to address the ghost commentator issue. Over the blockchain network, our approach establishes a reputation-based personal credit evaluation system, in which participants' strategies and payoffs are modeled. A smart contract-based deposit incentive mechanism is developed. We have implemented an experimental evaluation to show the evidence to the performance of our approach.