A Genetic Programming-based trust model for P2P Networks
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 vulnera...
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| Format: | Article |
| Language: | English |
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Science and Research Branch,Islamic Azad University
2015-05-01
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| Series: | Journal of Advances in Computer Engineering and Technology |
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| Online Access: | http://jacet.srbiau.ac.ir/article_7636_aeba60459fc9659948e838337fc9a41c.pdf |
| Summary: | 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 . |
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| ISSN: | 2423-4192 2423-4206 |