Trust framework for P2P networks using peer-profile based anomaly technique

Popularity of peer-to-peer (P2P) networks exposed a number of security vulnerabilities including the problem of finding reliable communication partners. In this paper, we present an integrated trust framework for P2P networks that quantifies the trustworthiness of a peer using reputation-based trust mechanism and anomaly detection technique. We describe anomaly detection procedure that analyzes peer activity on the network and flags potentially malicious behavior by detecting deviation from peer profile. We study the performance of our trust framework using simulation and compare it with the existing reputation-based system which does not employ an anomaly detection mechanism.