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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Fighting Pollution Attack in Peer-to-Peer Streaming Systems: A Dynamic Reputation Management Approach
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论文类型：会议论文
发表时间：2016-01-01
收录刊物：CPCI-S
页面范围：23-28
关键字：Data Pollution Attack; Trust Management; Dynamic Confidence Factor; Three-degree of Influence; P2P Multimedia System
摘要：P2P streaming systems are popular applications on internet. However, due to the open nature, P2P streaming systems are vulnerable to malicious attacks, especially data pollution attacks. Reputation-based mechanisms are most effective mechanisms to defend data pollution attacks in P2P streaming systems. In this paper, we propose a dynamic reputation management. In our proposed mechanism, a peer's reputation consists of direct and indirect trust. The confidence factor is used to determine the weight of direct trust. We introduce Gompertz Function to adjust the confidence factor, the more interactions, the larger weight of direct trust value is. Besides, to lower the complexity of calculating indirect trust, we introduce three-degree of separation, which only includes neighbors within three degrees while calculating indirect trust. Simulation results show that our proposed reputation management scheme can effectively separate malicious peers, reduce the dissemination of polluted data chunks and defend various kinds of data pollution attacks.