作者
Zhi Yang, Christo Wilson, Xiao Wang, Tingting Gao, Ben Y Zhao, Yafei Dai
发表日期
2014/2/1
期刊
ACM Transactions on Knowledge Discovery from Data (TKDD)
卷号
8
期号
1
页码范围
1-29
出版商
ACM
简介
Sybil accounts are fake identities created to unfairly increase the power or resources of a single malicious user. Researchers have long known about the existence of Sybil accounts in online communities such as file-sharing systems, but they have not been able to perform large-scale measurements to detect them or measure their activities. In this article, we describe our efforts to detect, characterize, and understand Sybil account activity in the Renren Online Social Network (OSN). We use ground truth provided by Renren Inc. to build measurement-based Sybil detectors and deploy them on Renren to detect more than 100,000 Sybil accounts. Using our full dataset of 650,000 Sybils, we examine several aspects of Sybil behavior. First, we study their link creation behavior and find that contrary to prior conjecture, Sybils in OSNs do not form tight-knit communities. Next, we examine the fine-grained behaviors of Sybils …
引用总数
20132014201520162017201820192020202120222023202424486058638259513824254
学术搜索中的文章
Z Yang, C Wilson, X Wang, T Gao, BY Zhao, Y Dai - ACM Transactions on Knowledge Discovery from Data …, 2014