计算机应用研究2018，Vol.35Issue(2)：521-526,6.DOI:10.3969/j.issn.1001-3695.2018.02.043
基于用户信息的社交网络信任评估方法
User information based trust evaluation mechanism for social network
摘要
Abstract
Trust evaluation is a key part of social network security.An impartial and objective way to evaluate trust is important for users to acquire requisite information.This paper utilized data clustering method to classify user based on users' background information,and corrected relationship between users by their background information to estimate trust value.In addition,it introduced behavior tracking mechanism to withstand malicious acts.After simulation test,this proposed method can not only get trust value closer to users' expectation,but also restrict the malicious effects of malicious users,thus achieving effective trust evaluation.关键词
社交网络/信任评估/数据聚类Key words
social network/trust evaluation/data clustering分类
信息技术与安全科学引用本文复制引用
王培人,毛剑,马寒军,崔键..基于用户信息的社交网络信任评估方法[J].计算机应用研究,2018,35(2):521-526,6.基金项目
国家自然科学基金资助项目(61402029) （61402029）
