面向移动社交网络的动态信任评估

数百万用户每天在参与移动社交网络互动及相关资源获取,在没有直接联系的2个用户之间建立信任关系,对于提高移动社交网络服务质量和增强用户安全感方面具有重要的作用.在分析移动社交网络体系架构的基础上,设计了一种综合考虑直接信任、推荐信任、信任风险函数、激励机制等多个影响因子的动态信任评估模型,并对信任值计算方法、信任决策和信任更新等进行分析.基于真实社交网络数据集Epinions.com的实验表明,本模型的信任值计算准确可信,且能够有效抵御恶意节点的攻击.

Dynamic trust evaluation method for mobile social network

For millions of people are joining mobile social networks every day, it is critical to establish trust among the indirectly connected users for improving the quality of mobile social network services and enforcing the security for them. A dynamic trust evaluation model was proposed to calculate and update trust metrics between one user and another user, which was based on direct trust, recommendation trust, trust risk function, motivate mechanism and the framework of mobile social network. Experiments with a dataset from a real social network Epinions.com show that the predicting trust metrics is accurate and the model effectively resist the attacks of malicious nodes.