Hierarchical Fuzzy Trust Management for Customer-to-Customer in Peer-to-Peer eCommerce

Lin, Haoming; Li, Zhitang; Zhang, Yejiang; Lu, Chuiwei

doi:10.1109/iscsct.2008.334

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…In the proposed system, the target peer performs the updating of credibility of commentator peers after each transaction, by considering its new reputation value according to the approach presented in [42]. Initially, each peer which joins the network is assigned a neutral credibility value of 0. decreased depending on the accuracy of its own opinion (overall trust value) over a target peer.…”

Section: Credibility Computation Subsystemmentioning

confidence: 99%

An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

Acampora

Alghazzawi

Hagras

et al. 2016

Information Sciences

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a b s t r a c tDuring the last two decades, the Internet has changed people's habits and improved their daily life activities and services. In particular, the emergence of e-commerce provided manufactures and vendors with more business opportunities. This allowed customers to benefit from a global, quicker and cheaper shopping environment. However, e-commerce is evolving from a centralised approach, where consumers directly purchase products and services from businesses, to a Peer-to-Peer (P2P) perspective, in which customers buy and sell goods amongst themselves. In P2P scenarios, it is crucial to protect both buyers and sellers (the peers) from being victimised by possible fraud arising from the uncertainties, vagueness and ambiguities that characterise the interactions amongst unknown business entities. For this reason, the so-called reputation models are becoming a key architectural component of any e-commerce portal. These systems are intended to evaluate the basic features of each entity (buyer, seller, goods, etc.) involved in a given trading transaction in order to assess the trust level of the given transaction and minimise fraud. However, in spite of their wide deployment, the reputation models need to be enhanced to handle the various sources of uncertainties in order to produce more accurate outputs which will allow to increase the trust and decrease the fraud levels within e-commerce systems. In this paper, we present an interval type-2 fuzzy logic based framework for reputation management in (P2P) e-commerce which is capable of better handling the faced uncertainties. We have carried out various experiments based on eBay ® -like transaction datasets which have shown that the proposed type-2 fuzzy logic based system can provide better performance (in terms of malicious peer detection and exchanged message overhead) when compared to the other well-known and heavily used approaches like the eBay ® approach, EigenTrust, PeerTrust as well as the type-1 fuzzy based counterpart approach.

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Section: Credibility Computation Subsystemmentioning

confidence: 99%

An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

Acampora

Alghazzawi

Hagras

et al. 2016

Information Sciences

View full text Add to dashboard Cite

show abstract

“…Fuzzy method was used in many literature [18] to evaluate trustworthiness of the service provider, and data sources including: interaction trust, reputation of witness and reputation of certificate. H. Q. Lin [20] et al, used layered fuzzy trust management to quantify trustworthiness in e-commerce systems. L. F. Xu [21] et al, adopted fuzzy set theory to compute trustworthiness and solved the problem about model.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Trustworthiness based on Fuzzy Set Theory

Sun¹,

Yu²,

Zhang

et al. 2014

IJFGCN

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A fuzzy logic based reputation system for E-markets

Castiglione

Vitiello

2014

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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During the last years, electronic markets (e-markets) are emerging as a new idea of economy, where trade transactions can be performed by buyers and sellers even if they are separated by geographic boundaries, time differences or distance barriers. Unfortunately, in this on-line trade environment, the probability of large-scale fraud and deceit is higher than traditional commerce because of the lack of face-to-face communications. For this reason, reputation systems, which enable to assess the trustiness level of transacting parties, are becoming a fundamental component of any current e-market portal. In this paper, we propose a new fuzzy logic based reputation system capable of efficiently assessing transacting parties through the exploitation of 1) a fuzzy trust model which takes into account a set of metrics reflecting the trust human perception both on seller and buyer side and, furthermore, it does not miss to consider past transactions; 2) a fuzzy based reputation aggregation taking into account credibility concept to discriminate false trust values. As shown by performed experiments, the proposed reputation system yields better performance than that used by one of the most known e-markets, eBay®. © 2014 IEEE

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Hierarchical Fuzzy Trust Management for Customer-to-Customer in Peer-to-Peer eCommerce

Cited by 4 publications

References 13 publications

An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

Evaluation of Trustworthiness based on Fuzzy Set Theory

A fuzzy logic based reputation system for E-markets

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