摘要
在开放网络环境中,运用用户行为及模糊理论对信任框架进行了建模.给出了信任的定义和信任的计算机制及算法.该算法具有对恶意节点屏蔽能力.引入亲疏系数的概念,可同时解决恶意节点的定义方式以及信任网络初建立时各节点信任度初始化的问题.扩展了云模型,使得信任度期望接近信任评价区间临界区域时,节点拥有与一般信任度期望远离临界区域时完全不同的信任程度.讨论了云模型各参数对信任度计算的影响.通过引入时间衰减系数及行为影响系数,较好地解决了信任的模糊性随时间及行为变化的动态性特点.
In open network, the usage and fuzzy set theory have been used to model the issues of trust management. The definition of trust class and the algorithm of trust-computing are discussed. By pre- senting the affinities coefficient, the derivation algorithm of trust has a good ability of shielding on ma- licious nodes. At the same time, the problems of how to define the malicious nodes and how to init the trustworthiness of the nodes are resolved. The cloud model is extended to define the trust model infor- mation and the parameters are discussed in detail. By proving the time decay coefficient and usage ef- fecting coefficient, the fuzziness and dynamic variation characters are considered and resolved. The ex- periments are also designed to evaluate the correctness and performances of the proposed algorithm.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2009年第1期126-130,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家重点基础研究发展计划(973项目)(2007CB310704)
国家"863计划"项目(2006AA01Z456)
教育部博士点基金(20060013007)
北京市自然科学基金(4073037)
关键词
信任管理
用户行为
亲疏系数
云模型
trust management
usage control
affinities coefficient
cloud model
