Journal of University of Chinese Academy of Sciences >
Automatic Sybil attack method for online social network
Received date: 2013-02-01
Revised date: 2013-07-31
Online published: 2014-07-15
The Sybil attack has become a serious threat to the online social networks(OSN). We analyze the main threats of Sybil accounts to the OSN and the methods for detecting them. We find out that all the detection methods have their weaknesses. Based on those we propose a set of strategies to avoid the OSN's detection and accomplish a tool called OSNBP, which uses strategies to infiltrate into the OSN. After we used this tool in infiltration tests into the two largest social networks, Facebook.com and RenRen.com, we conclude that our infiltration strategies are effective and the existing methods of detecting Sybil accounts are imperfect.
Key words： ocial networks; Sybil account; privacy; Sybil attack
XIONG Kai, ZHANG Yuqing, LÜ Shaiqing . Automatic Sybil attack method for online social network[J]. Journal of University of Chinese Academy of Sciences, 2014 , 31(4) : 548 -554 . DOI: 10.7523/j.issn.2095-6134.2014.04.016
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