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机构地区:[1]湖南商学院计算机与电子工程学院,湖南长沙410205 [2]中南大学商学院,湖南长沙410083 [3]湖南科技大学计算机科学与工程学院,湖南湘潭412201
出 处:《通信学报》2011年第7期71-79,共9页Journal on Communications
基 金:国家自然科学基金资助项目(90818004);湖南省自然科学基金资助项目(10JJ6110;11JJ2033);湖南省科技计划基金资助项目(2010JT4053);国家教育部人文社会科学研究青年基金资助项目(10YJC630080)~~
摘 要:针对云计算环境中服务节点的可信度参差不齐常导致用户很难获得高质量组合服务的问题,提出了一种基于信任生成树的云服务组织方法,将服务提供者与请求者的交互行为经演化后形成信任关系,使主体间可信程度达到相应级别,形成对外提供相似服务功能的云服务集合,将恶意、虚假的服务排除在信任生成树之外,使服务组合在可信场景中进行;在此基础上,采用了基于信息熵的度量策略来对服务间的信任关系进行评估,解决了现有研究中仅对可信参数进行简单加权分析的不足。实验分析表明,该方法能有效抑制云计算环境下恶意节点的欺诈行为并保护真实节点的合法利益,具有较好的服务选择质量。It was difficult for the service consumers to obtain high-quality composite services because of the existence of false or malicious service nodes in cloud computing environment.A novel cloud service-composition method based on the trust span tree was proposed.The trust relationship could be built after many times credible interaction between ser-vices requester and provider,and the trust union would be formed through the credible relationship evolution.So that the uncertain or malicious service should be excluded from the trust span tree,and the service composition would be carried out in a trust environment.At the same time,the measuring strategy of trust relationship among cloud services based on information entropy was designed,which could resolve the deficiencies of the trust parameter analysed by simply weighted angle in the previous studies.The experimental result shows that the method proposed in this paper is more su-perior in credibility and security,comparing to the traditional services selection methods.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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