期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：3
页码：687-690
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Online Reputation Systems are playing increasingly important roles in influencing people's online purchasing/downloading decisions. In this paper we propose a scheme user correlation algorithm. The existing mechanisms Time Domain Anomaly detection and Trust model based on dempster safer theory not provide better efficiency. First, limit the maximum number of ratings each user could provide with in the certain time duration. Second investigating users rating behaviors by building user trust, such as a personalized trust model, which evaluates a user's judging power as the inverse of this user's rating variance. In the proposed system, jointly consider trust evaluation and user correlation. Correlation is calculated based on already defined malicious users. Based on the user correlated relationship values eliminate the time consuming and low efficiency.
关键词：Network Security; Time Variation; Trust ; Evaluation; User Correlation; Rating Sequence
