可信网络中信任评估方法的研究综述

A SURVEY OF RESEARCH ON TRUST EVALUATION METHODS IN TRUSTED NETWORKS

信任评估作为可信网络中的关键技术,是近年来网络信息安全的研究热点。阐述信任评估在可信网络中的作用;给出网络实体信任评估的相关概念和特点,并重点介绍基于线性加权、机器学习、Petri网和行为生物学的信任评估方法,通过比较给出上述方法各自的优缺点;讨论网络信任评估研究目前待解决的部分问题,并探讨今后的研究方向。

Trust assessment,as a key technology in trusted networks,has become a research hotspot of network information security in recent years.The role of trust evaluation in trusted network was expounded.The related concepts and characteristics of trust evaluation of network entities were given,and the trust evaluation methods based on linear weighting,machine learning and Petri nets were mainly introduced.The advantages and disadvantages of the above methods were discussed.Some problems to be solved in the research of network trust evaluation were discussed and future research directions were discussed.