Defense Against Sybil Attacks in Directed Social Networks

被引：0
|
作者：
Liu, Pengfei [1 ,2 ]
Wang, Xiaohan [1 ]
Che, Xiangqian [1 ]
Chen, Zhaoqun [1 ]
Gu, Yuantao [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Tsinghua Natl Lab Informat Sci & Technol, State Key Lab Microwave & Digital Commun, Beijing 100084, Peoples R China
[2] Natl Def Informat Acad, Wuhan 430010, Peoples R China
来源：
2014 19TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | 2014年
关键词：
security; social networks; directed networks; spam; sybil attack; set of measures; modularity;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we attempt to solve the problem of defense against sybil attacks in directed social networks. We propose a set of measures for the quality of network partitions, with modularity as a special case. We present an algorithm based on the set of measures and iterative optimization to detect the sybil region. The algorithm is evaluated using a subset of real-world social topology and is confirmed to be efficient for solving the problem. Moreover, a comparison between the proposed algorithm and SybilDefender is provided, which shows that the proposed algorithm is superior for the sybil region detection problem in directed social networks.
引用
收藏
页码：239 / 243
页数：5
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