A QoS-based fine-grained reputation system in the grid environment
A QoS-based fine-grained reputation system in the grid environment
复制标题
网格环境下基于QoS的细粒度信誉系统
DOI：
10.1002/cpe.1824
复制
发表时间：
2012-12-10
影响因子：
2
通讯作者：
Cesare, Silvio
中科院分区：
文献类型：
--
作者：
Cui, Yongrui;Li, Mingchu;Cesare, Silvio
反馈呈现的准确性、声誉评估的敏感性和鲁棒性是网格环境下声誉系统需要解决的关键问题。本文提出了一种基于QoS的细粒度网格信誉系统，其中考虑了经济因素，使信誉系统在商业网格环境中更加敏感。提出了一种基于客观QoS属性和评估者主观意见聚合的新型细粒度反馈呈现模型，以实现半自动、个性化和准确的反馈呈现。通过引入惩罚因子和自适应参考先前的信任值，所提出的声誉系统有效地提高了声誉评估的敏感性。此外，组织间信任、直接信任和推荐信任的加权组合使得声誉系统对共谋攻击具有更强的鲁棒性。仿真结果表明，所提出的信誉系统可以实际预测反馈并有效抵御虚假交易攻击和恶意攻击等恶意攻击。这在网格服务选择的应用中提供了明显的优势。版权所有 (c) 2011 John Wiley & Sons, Ltd.
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 (c) 2011 John Wiley & Sons, Ltd.