文章基本信息

标题：A Fuzzy Approach for Reputation Management in Online Communities for Bittorrent P2P Network
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作者：Ansuman Mahapatra ; Nachiketa Tarasia ; Madhusmita Sahoo 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：4
页码：1564-1568
出版社：TechScience Publications
摘要：Reputation management for users in Bittorrent P2P network is very much important due to its open and anonymous nature in online forums. Users are from all over the globe register themselves in the torrent websites to download their interested content. Some malicious peers distribute low quality or fake files in the forums and pollute the environment. We have to identify those malicious users & not allow them to spread the fake files to more users by giving reputation to each users present in the forum/website. Each user id registered in the forum is associated with a reputation value from which we can know the user is malicious or not. In this paper, we propose a fuzzy inference system to design P2P reputation management system which generates the reputation values automatically without interacting with other peers, for each peer who are the members of the torrent communities. This will reduce the extra communication overhead of the system. Fuzzy logic is effective for calculation of reputation as factors affecting the reputation are uncertain and has fuzziness. After getting the reputation values we will divide the users in layers according their reputation value. We have taken three factors that affect reputation and simulate the result.
关键词：Fuzzy Reputation Management; Bittorrent P2P;Network; Torrent Community; Forum.e