A Genetic Programming-based trust model for P2P Networks

• Main Author: Mahdi Sattarivand
• Format: Article
• Language: English
• Published: Science and Research Branch,Islamic Azad University 2015-05-01
• Series: Journal of Advances in Computer Engineering and Technology
• Subjects: peer-to-peer systems; confidence; genetic programing; malicious nodes
• Online Access: http://jacet.srbiau.ac.ir/article_7636_aeba60459fc9659948e838337fc9a41c.pdf

Abstract— Peer-to-Peer ( P2P ) systems have been the center of attention in recent years due to their advantage . Since each node in such networks can act both as a service provider and as a client , they are subject to different attacks . Therefore it is vital to manage confidence for these vulnerable environments in order to eliminate unsafe peers . This paper investigates the use of genetic programing for achieving trust of a peer without central monitoring . A model of confidence management is proposed here in which every peer ranks other peers according to calculated local confidence based on recommendations and previous interactions . The results show that this model identifies malicious nodes without the use of a central supervisor or overall confidence value and thus the system functions.<br />Index Terms — peer - to - peer systems , confidence , genetic programing , malicious nodes .