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

Lixiang Li, Jurgen Kurths, Yixian Yang, Guole Liu

Research output: Contribution to journalArticle

1 Citation (Scopus)
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Abstract

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 peerswithmalicious behaviors.
Building trusted relationships among peers in a large-scale distributed P2P systemis 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.
Original languageEnglish
Article number189213
Number of pages11
JournalMathematical Problems in Engineering
Volume2014
DOIs
Publication statusPublished - 2014

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