文章基本信息

标题：Real-time Evaluation Mechanism Based on Double Evidence Classification of User Behavior
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作者：Jiale Zhang ; Guiling Zhang ; Xiufang Zhang 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：12
页码：31
出版社：SERSC
摘要：With the development of trusted network, the research of trusted evaluation mechanism of userbehavioris a hotpot in the network security.In order to solve the problems of subjectivity, limitations and static in traditional trusted network user behavior evaluation models, we have to find a real-time and dynamic evaluation method for user behavior. In this paper, the authorsconstructa real-time evaluation mechanism based on double evidence classification of user behavior (DEC-UB). The evaluation mechanism includes the process classification and characteristic classification of user behavior evidence, which makesthe user behavior evidence of any time can be directly involved in the trust evaluation, and the evaluation result is more comprehensive and accurate. Simulation experiments have evaluated the three kinds of user behaviors based on the DEC-UB, and compared them with the othertwo kinds of trust evaluation methods of user behavior, the results show that the proposed methods can evaluate the user's behavior comprehensively, accurately and dynamically in complex network environments, and the results are more realistic.
关键词：Trusted network; user behavior; ;trusted evaluation; ;evidence classification; ;DEC;-;UB