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Detecting Deceptive and Malicious Voting Behaviors in Decentralized Systems

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Type: Working Paper
Author: Chang, Eric
Date: 2016
URI: https://hdl.handle.net/10535/10222
Sector: Information & Knowledge
Subject(s): research
Abstract: "Deceptive behaviors of peers in today’s decentralized systems have become a serious problem due to the anonymous and self-organization nature. In this paper, we propose Soc, a novel active challenge-response mechanism based on the notion that the one side of transaction with preponderant knowledge can detect whether the other side is telling a lie. In Soc, through introducing the friend-based scheme, each peer can establish own friend relationships quickly. With the secret information of friends, Soc can construct the asymmetrical information between peers. Our active challenge-response mechanism can help peers find the deceivers in system based on the asymmetrical information. Soc also provides the mechanism which can reduce the probability of impact brought by deceptive peers. Compared with existing reputation models, Soc is more robust to the problems of collusive deceivers and cold start. The evaluation results illustrate that Soc can effectively address the problem of deceptive peers."

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