西安电子科技大学学报（自然科学版）2016，Vol.43Issue(2)：199-204,6.DOI:10.3969/j.issn.1001-2400.2016.02.034
针对有向社交网络的Sybil检测方法
SybilGrid:Sybil detection method based on directed social networks
摘要
Abstract
A Sybil detection method based on the random walk strategy is proposed to detect the Sybil nodes in the directed social network. The performance of the algorithm is evaluated by collecting the real social network topological data on Sina Weibo, and the effectiveness of the algorithm is proved. In addition, compared with the existing SybilDefender method, it is found that the false alarm rate of SybilDefender is about 1.6 times as great as SybilGrid. Meanwhile, to achive the same false alarm probability, the random walk length required by SybilGrid is much shorter, meaning that the detection efficiency of SybilGrid is higher.关键词
Sybil攻击/社交网络/随机游走Key words
Sybil attack/social networks/random walk引用本文复制引用
王永程,孟艳红..针对有向社交网络的Sybil检测方法[J].西安电子科技大学学报（自然科学版）,2016,43(2):199-204,6.基金项目
国家自然科学基金资助项目(61372076 ,61301171) （61372076 ,61301171）
高等学校学科创新引智计划资助项目(B08038) （B08038）
中央高校基本科研业务费专项资金资助项目(K5051301059 ,K5051201021) （K5051301059 ,K5051201021）
