论文部分内容阅读
针对Web用户信息的安全问题,提出了一种主客观相结合的用户行为信任评估模型.通过熵权法确定客观权重,通过层次分析法确定主观权重,进一步得到优化的集成权重.通过引入基于滑动窗口的长期量化评估机制和对不同类型证据的无量纲化处理,最终计算出用户行为的信任评估值.实际应用和理论分析结果表明,该模型在满足主、客观相对平衡的优化条件下,可以更准确地得出单次和长期用户行为的信任评估值,对诸如电子商务、网络金融等关键网络应用用户行为的高可靠性判断奠定了坚实的理论和实践基础.
Aiming at the security of Web user information, this paper proposed a subjective and objective model of user behavior trust evaluation, which determined objective weight by entropy method and subjective weight by AHP to obtain optimized integration weight. The window’s long-term quantitative evaluation mechanism and the non-dimensional treatment of different types of evidence to finally calculate the trust evaluation value of user’s behavior.The practical application and theoretical analysis show that the model can satisfy the objective and objective relative equilibrium optimization conditions, More accurately derive the trust evaluation values of single and long-term user behaviors, and lay a solid theoretical and practical foundation for judging the high reliability of user behaviors of key network applications such as e-commerce and online finance.