A QoS-based fine-grained reputation system in the grid environment

Authors:
Yongrui Cui;Mingchu Li;Yang Xiang;Yizhi Ren;Silvio Cesare
Affiliations:
Software School, Dalian University of Technology, Dalian, Liaoning116621, China and School of Information Technology, Deakin University, Burwood, VIC3125, Australia;Software School, Dalian University of Technology, Dalian, Liaoning116621, China;School of Information Technology, Deakin University, Burwood, VIC3125, Australia;College of Software Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang310018, China;School of Information Technology, Deakin University, Burwood, VIC3125, Australia
Venue:
Concurrency and Computation: Practice & Experience
Year:
2012

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Abstract

The accuracy of feedback presentation, the sensitivity, and the robustness of reputation evaluation are critical issues to be addressed in a reputation system under the grid environment. This paper proposes a QoS-based fine-grained grid reputation system, where economic elements are considered to make the reputation system more sensitive in the commercial grid environments. A novel fine-grained feedback presentation model based on aggregation of objective QoS attributes and subjective opinions of evaluators is proposed to enable a semi-automatic, personalized and accurate feedback presentation. Through the introduction of a punishment factor and the adaptive reference of a previous trust value, the proposed reputation system effectively improves the sensitivity of the reputation evaluation. Moreover, the weighted combination of interorganizational trust, direct trust and recommended trust makes the reputation system more robust against collusion attacks. Simulation results show that the proposed reputation system can practically predict feedback and effectively resist malicious attacks such as fake transaction attacks and badmouthing attacks. This provides a clear advantage in the applications of grid service selection. Copyright © 2011 John Wiley & Sons, Ltd.