Feature Analysis of Spammers in Social Networks with Active Honeypots: A Case Study of Chinese Microblogging Networks

Author

Yi Zhou ; Kai Chen ; Li Song ; Xiaokang Yang ; Jianhua He

Author_Institution

Dept. of Electron. Eng., Shanghai Jiaotong Univ., Shanghai, China

fYear

2012

fDate

26-29 Aug. 2012

Firstpage

728

Lastpage

729

Abstract

In this poster we report our study on the microblog spammers with samples attracted by 50 honeyspots from two popular Chinese microblogging networks: Sina Weibo (weibo.com), and Ten cent Weibo (t.QQ.com) in seven months. We studied their features such as social information, activity, account age and spamming strategy. Several distinguishing characteristics of spammers on these two social network communities are observed, which can be helpful to the further study on automatic detection of microblog spammers. To our best knowledge our work is the first of its kind on the analysis of features of Chinese micloblog spammers.

Keywords

social networking (online); Chinese microblogging network; Sina Weibo; Ten cent Weibo; account age; active honeypot; activity; feature analysis; microblog spammer detection; social information; social network; spamming strategy; t.QQ.com; weibo.com; Automation; Blogs; Communities; Educational institutions; Humans; Social network services; Unsolicited electronic mail; Social networks; Spammer;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-4673-2497-7

Type

conf

DOI

10.1109/ASONAM.2012.133

Filename

6425674