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Detecting Deceptive and Malicious Voting Behaviors in Decentralized Systems

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dc.contributor.author Chang, Eric
dc.date.accessioned 2016-12-21T16:01:31Z
dc.date.available 2016-12-21T16:01:31Z
dc.date.issued 2016 en_US
dc.identifier.uri https://hdl.handle.net/10535/10222
dc.description.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." en_US
dc.language English en_US
dc.subject research en_US
dc.subject.classification Computer Science en_US
dc.title Detecting Deceptive and Malicious Voting Behaviors in Decentralized Systems en_US
dc.type Working Paper en_US
dc.type.methodology Case Study en_US
dc.subject.sector Information & Knowledge en_US


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