This paper implements an existing computational model of trust and reputation applied to a P2P environment, and extends the approach using a novel group trust calculation that demonstrates improved scalability and anomaly detection for P2P systems. Our analysis is based on results obtained by simulating a P2P environment using the JXTA open source platform. A trust and reputation model was implemented in the same platform, allowing to constructing a baseline for the behavior of the nodes using combined trust and reputation coefficients in a scenario without malicious nodes. Then simulations were conducted with malicious nodes and the effect of trust and reputation factors were analyzed regarding their influence on the anomaly detection capacity and scalability in P2P communications. Several simulation scenarios were configured and explored, considering the presence of different number of malicious nodes in the P2P environment, with both constant and variable behavior. Other scenarios included calculations of combined trust and reputation for node groups. The results show that group trust ensure more interactions among nodes, even in the presence of a large number of malicious nodes (60% of the total), besides providing focused identification of malicious nodes inside groups.
Botnets, DNS, denial of service.
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THE INTERNATIONAL JOURNAL OF FORENSIC COMPUTER SCIENCE - IJoFCS
Volume 3, Number 1, pp 75-86, DOI: 10.5769/J200801008 or http://dx.doi.org/10.5769/J200801008
Group Trust Yields Improved Scalabiliy and Anomaly Detection for P2P Systems
By Robson Albuquerque, Rafael Sousa Júnior, Lorena Bezerra, and Giselle Lima
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