@inproceedings{1590b171ec08464eb2baca68a9d58a19,
title = "Blockchain-based Reputation Evaluation Using Game Theory in Social Networking",
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.",
keywords = "blockchain, game theory, social network, trust management.",
author = "Wenjie Guo and Jingfeng Xue and Yong Wang and Zhixiong Zhou",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 4th ACM International Symposium on Blockchain and Secure Critical Infrastructure, BSCI 2022 ; Conference date: 30-05-2022",
year = "2022",
month = may,
day = "30",
doi = "10.1145/3494106.3528681",
language = "English",
series = "BSCI 2022 - Proceedings of the 4th ACM International Symposium on Blockchain and Secure Critical Infrastructure",
publisher = "Association for Computing Machinery, Inc",
pages = "107--114",
booktitle = "BSCI 2022 - Proceedings of the 4th ACM International Symposium on Blockchain and Secure Critical Infrastructure",
}