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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 189213, 11 pages
Research Article

Prevention and Trust Evaluation Scheme Based on Interpersonal Relationships for Large-Scale Peer-To-Peer Networks

1Institute of Network Coding, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
2Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876, China
3Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
4Shenzhen Key Laboratory of Network Coding Key Technology and Application, Shenzhen 518057, China
5Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany

Received 21 July 2014; Accepted 24 August 2014; Published 29 September 2014

Academic Editor: Haipeng Peng

Copyright © 2014 Lixiang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In recent years, the complex network as the frontier of complex system has received more and more attention. Peer-to-peer (P2P) networks with openness, anonymity, and dynamic nature are vulnerable and are easily attacked by peers with malicious behaviors. Building trusted relationships among peers in a large-scale distributed P2P system is a fundamental and challenging research topic. Based on interpersonal relationships among peers of large-scale P2P networks, we present prevention and trust evaluation scheme, called IRTrust. The framework incorporates a strategy of identity authentication and a global trust of peers to improve the ability of resisting the malicious behaviors. It uses the quality of service (QoS), quality of recommendation (QoR), and comprehensive risk factor to evaluate the trustworthiness of a peer, which is applicable for large-scale unstructured P2P networks. The proposed IRTrust can defend against several kinds of malicious attacks, such as simple malicious attacks, collusive attacks, strategic attacks, and sybil attacks. Our simulation results show that the proposed scheme provides greater accuracy and stronger resistance compared with existing global trust schemes. The proposed scheme has potential application in secure P2P network coding.