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机构地区:[1]广州军区广州总医院信息科 [2]国防科学技术大学计算机学院 [3]广西桂林76140部队
出 处:《计算机科学》2011年第9期59-63,共5页Computer Science
基 金:广州市科技计划项目(2010Y1-C971);广东省自然科学基金博士启动项目基金(9451001002003920);国家自然科学基金(60873204);国家973重点基础研究发展规划项目基金(2005CB321800);国家863高技术研究发展计划项目基金(2007AA010301);国家杰出青年科学基金(60625203)资助
摘 要:针对现有的信任模型不能很好地处理P2P网络环境中恶意节点提供虚假服务的欺诈行为,及不积极提供诚实推荐的问题,提出了一种激励相容的P2P信誉模型(简称ICRM)。该模型使用时间区间的概念来标示经验和推荐的时间特性,利用直接信任度、推荐信任度及推荐可信度等机制来精确描述节点的实际信任等级,并引入参与层次来度量节点提供推荐的积极程度,从而有效地识别与抑制不同类型的恶意节点,激励节点积极提供诚实推荐。仿真实验表明,ICRM能够有效地抑制恶意节点的欺诈行为及不诚实反馈行为,并能有效解决节点推荐积极性不高的问题。An important challenge regarding peer's trust valuation in peer-to-peer(P2P) networks is how to cope with such issues as the fraudulent behaviors and the dishonest feedback behaviors from malicious peers,and the issue of inactive recommendations to others.However,these issues cannot be effectively addressed by the existing solutions.Thus,an incentive compatible reputation management model for P2P networks,named ICRM,was proposed to solve them.In ICRM,the metric of time zone is used to describe the time property of the transaction experience and the recommendation.Three other metrics such as the direct trust value,the recommendation trust value and the recommendation credibility,based on the metric of time zone are applied to express accurately the final trust level of a peer.Furthermore,the participation level is introduced as the metric to identify a peer's activeness degree.Theoretical analysis and simulation experiments demonstrate that,ICRM can effectively suppress the malicious behaviors such as providing unreliable services,or giving dishonest feedbacks to others in the P2P networks.What's more,it also can incent peers to offer recommendations to others more actively.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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