A Fuzzy Approach for Reputation Management using Voting Scheme in Bittorrent P2P Network

Reputation management for peers in Bittorrent P2P network is very much important due to its open and anonymous nature. Some malicious peers distribute low quality or fake files in the network and pollute the environment. In this paper, we propose a fuzzy inference system to design P2P reputation management system which generates the reputation values for each torrent files by interacting with other peers. The inference system takes the fuzzy voted values from the peers and calculates the reputation for torrent file. Fuzzy logic is effective for calculation of reputation as many factors affecting the reputation are uncertain and has fuzziness. We have taken three factors such as: quality, popularity and size of the file share by a peer and simulate the resulting reputation management system. Keywords— Fuzzy Reputation Management, Bittorrent P2P Network, Voting Scheme