A P2P Trust Model Based on Dynamic Fuzzy Theory -- BGTR

Xi, Jing; Nie, Pengpeng; Jian-de, LU

doi:10.1109/isip.2008.62

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…trustworthy or not trustworthy. There are several Fuzzy theory-based distributed reputation systems exists in literature [14][15][16][17][18][19][20][21]. In these approaches, trust factors are treated as fuzzy variables, and fuzzy logic inference rules are used to calculate local trust scores and aggregate global reputation.…”

Section: Reputation-based Trust Modelmentioning

confidence: 99%

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Multifactor hierarchical fuzzy trust evaluation on peer-to-peer networks

Lin

Huang

2010

Peer-to-Peer Netw. Appl.

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Decentralized Peer-to-Peer (P2P) networks offer not only opportunities but also threats. Due to the autonomy, self-interest and heterogeneousness of peers, the interaction outcomes are uncertain. One way to minimize the threats in such an open environment is exploiting the reputation method to evaluate the trustworthiness and predict the future behaviors of peers. While most of the existing reputation-based trust models focus on preventing network from the malicious peers, peers' capabilities to fulfill the tasks are mostly ignored. In this paper, we present a novel trust model MHFTrust which quantifies and compares the trustworthiness of peers based on hierarchical fuzzy system. Six capability factors are identified to describe the peers' trust on the capability, and one security factor, named "Malicious behavior" is used to evaluate the peers' trust on security. Our trust model consisted of local-trust computation based on fuzzy techniques and global reputation aggregation, which integrates feedback from other peers to produce a global reputation for each peer. Credibility and weight of feedback are introduced to facilitate the computation of global reputation. It is shown in simulation that our trust model greatly improves the efficiency of P2P system, while the number of inauthentic files on the network is significantly decreased.

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Section: Reputation-based Trust Modelmentioning

confidence: 99%

“…& if temperature is hot then speed up fan A few models have successfully employed fuzzy logic to represent trust [14][15][16][17][18]. However, these approaches did not recognize the fact that trust is multi-faceted.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Multifactor hierarchical fuzzy trust evaluation on peer-to-peer networks

Lin

Huang

2010

Peer-to-Peer Netw. Appl.

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“…To build up trust management, several issues proposed, including EigenTrust [1], TTP [2], Trustme [3], BGTR [4]. In existing model, most of them adopt Fuzzy logic, probability theory and simulate the human being community to build up a series of scheme to evaluate credibility of trustee for promoting the transaction success rate.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Trust Management Based on Outlier Identification for P2P

Luo¹,

Li²,

Cai

2011

AMR

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In an open P2P network environment, it’s full of various malicious actions ,dishonesty, deceit, selfish and so on. So it’s necessary to build a robust trust manage system to keep the community run healthily. There are mainly two kinds of trust system, one is based on Global Trust. the system maintains a Global Trust value for every peer. The other one is based on peer itself, it rates the object peer trust according to historical transactions between them or recommendation from the other peers. Because the second trust manage system mainly bases on Fuzzy algorithm, we call it Fuzzy Trust system. The paper will focus on Fuzzy Trust system, we will introduce the related algorithms and involve Outlier Identification algorithm to alleviate the risk from malicious action.

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