A GENETIC PROGRAMMING-BASED TRUST MODEL FOR P2P NETWORK

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SATTARIVAND MAHDI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY Year:2015 | Volume:1 | Issue:2 Page(s): 9-14

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Information Journal Paper

Title

A GENETIC PROGRAMMING-BASED TRUST MODEL FOR P2P NETWORK

Author(s)

SATTARIVAND MAHDI | Issue Writer Certificate

Keywords

PEER-TO-PEER SYSTEMS

CONFIDENCE

GENETIC PROGRAMING

MALICIOUS NODES

Abstract

Peer-to-Peer 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.

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APA: Copy

SATTARIVAND, MAHDI. (2015). A GENETIC PROGRAMMING-BASED TRUST MODEL FOR P2P NETWORK. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 1(2), 9-14. SID. https://sid.ir/paper/346235/en

Vancouver: Copy

SATTARIVAND MAHDI. A GENETIC PROGRAMMING-BASED TRUST MODEL FOR P2P NETWORK. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2015;1(2):9-14. Available from: https://sid.ir/paper/346235/en

IEEE: Copy

MAHDI SATTARIVAND, “A GENETIC PROGRAMMING-BASED TRUST MODEL FOR P2P NETWORK,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 1, no. 2, pp. 9–14, 2015, [Online]. Available: https://sid.ir/paper/346235/en

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