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作 者:曲永花[1,2] 窦万峰[1,2] 徐育雄[1,2]
机构地区:[1]南京师范大学计算机科学与技术学院,江苏南京210097 [2]江苏省信息安全与保密工程研究中心,江苏南京210097
出 处:《南京师范大学学报(工程技术版)》2010年第2期63-67,共5页Journal of Nanjing Normal University(Engineering and Technology Edition)
基 金:江苏省高校自然科学基金(07KJD52112)
摘 要:由于分布式系统没有授权的控制中心,对系统中可信的软件服务的请求存在一定的困难,需要用可行的方法对软件服务做出客观准确的信任评估.提出一种符合信任动态性的软件服务的直接信任度评估方法,引入衰减因子,使直接信任度在无论有无新的上下文被检测到的情况下都会随时间动态进化.在对全局信任度更新中同样引入衰减因子,以体现信任的动态性.针对推荐信任度评估,提出一个两级过滤TLF(Two-Level Filtering)方法,根据深度阈值和信任程度阈值尽可能减少请求的深度并摒弃危险的推荐,一定程度上降低了使用软件服务的潜在风险,同时也节约了信任评估的计算资源.Without any authorized control centers in the distributed systems,the difficulties always exist for requesting trusted software service.It needs a feasible method to make an objective and accurate assessment for software service.In this paper,a direct trust valuation method that meets the dynamic nature of trust in the software service is proposed.The method computes the trust degree by introducing an attenuation factor that makes the direct trust of a software service evolve dynamically with time no matter how a new case in the context is detected.Similarly,this attenuation factor is also used to compute the global trust to adjust the dynamic change of the trust.For indirect assessment of trust,a method of two-level filtering is suggested which cuts down the request depth and dangerous recommendation according to the threshold of depth and trust.To a certain extent,the method reduces the potential risk of the use of software services and saves the computing resources of the trust valuation at the same time.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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