Detecting and Characterizing Social Spam Campaigns

被引：98

作者：

Gao, Hongyu ^{[1
]}

Hu, Jun ^{[2
]}

Wilson, Christo ^{[3
]}

Li, Zhichun ^{[1
]}

Chen, Yan ^{[1
]}

Zhao, Ben Y. ^{[3
]}

机构：

[1] Northwestern Univ, Evanston, IL 60208 USA

[2] HUST, Wuhan, Peoples R China

[3] Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA

来源：

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'10) | 2010年

关键词：

Online social networks; Spam; Spam Campaigns;

D O I：

10.1145/1866307.1866396

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Online social networks (OSNs) are exceptionally useful collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also extremely effective tools for executing spam campaigns and spreading malware. In this poster, we present an initial study to detect and quantitatively analyze the coordinated spam campaigns on online social networks in the wild. Our system detected about 200K malicious wall posts with embedded URLs, traced back to roughly 57K accounts. We find that more than 70% of all malicious wall posts are advertising phishing sites.

引用

页码：681 / 683

页数：3