一种上下文敏感的信任管理系统

A Context-Aware Trust Management System

  • 摘要: 提出并实现了一种基于贝叶斯网络的主观信任管理方案.显式地加入上下文信息.并使用统计学方法推算上下文对实体行为的影响因子,使之比使用特定算法(影响因子固定)的系统更准确地反映出实体行为的不确定性和动态性.仿真对比实验表明,提出的主观信任度映射方法,能够更准确地推算出陌生上下文中的信任度.

     

    Abstract: A subjective trust management framework based on Bayesian networks is proposed.The context information is considered explicitly when evaluating trust and the contextual factors are inferred statistically,making it able to reflect the dynamic features of situations and of peers' behavior more accurately than those solutions using fixed contextual factors.A subjective trust mapping approach to help application agents infer the trustworthiness in an unfamiliar context is also proposed.

     

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