A Genetic Programming-based trust model for P2P Networks
عنوان مقاله: A Genetic Programming-based trust model for P2P Networks
شناسه ملی مقاله: JR_JACET-1-2_002
منتشر شده در شماره 2 دوره 1 فصل در سال 1394
شناسه ملی مقاله: JR_JACET-1-2_002
منتشر شده در شماره 2 دوره 1 فصل در سال 1394
مشخصات نویسندگان مقاله:
Mahdi Sattarivand - School of Electrical and Computer Engineering, Guilan University, Guilan, Iran
خلاصه مقاله:
Mahdi Sattarivand - School of Electrical and Computer Engineering, Guilan University, Guilan, Iran
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.Index Terms — peer - to - peer systems , confidence , genetic programing , malicious nodes .
کلمات کلیدی: peer-to-peer systems, confidence, genetic programing, malicious nodes
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/892700/