Feature analysis of spammers in social networks with active honeypots: A case study of chinese microblogging networks

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    In this poster we presented our preliminary work on the study of spammer detection and analysis with 50 active honeypot profiles implemented on Weibo.com and QQ.com microblogging networks. We picked out spammers from legitimate users by manually checking every captured user's microblogs content. We built a spammer dataset for each social network community using these spammer accounts and a legitimate user dataset as well. We analyzed several features of the two user classes and made a comparison on these features, which were found to be useful to distinguish spammers from legitimate users. The followings are several initial observations from our analysis on the features of spammers captured on Weibo.com and QQ.com. ■The following/follower ratio of spammers is usually higher than legitimate users. They tend to follow a large amount of users in order to gain popularity but always have relatively few followers. ■There exists a big gap between the average numbers of microblogs posted per day from these two classes. On Weibo.com, spammers post quite a lot microblogs every day, which is much more than legitimate users do; while on QQ.com spammers post far less microblogs than legitimate users. This is mainly due to the different strategies taken by spammers on these two platforms. ■More spammers choose a cautious spam posting pattern. They mix spam microblogs with ordinary ones so that they can avoid the anti-spam mechanisms taken by the service providers. ■Aggressive spammers are more likely to be detected so they tend to have a shorter life while cautious spammers can live much longer and have a deeper influence on the network. The latter kind of spammers may become the trend of social network spammer.

    Original languageEnglish
    Title of host publicationProceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
    PublisherIEEE
    Pages728-729
    Number of pages2
    ISBN (Print)9780769547992
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 - Istanbul, Turkey
    Duration: 26 Aug 201229 Aug 2012

    Conference

    Conference2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
    CountryTurkey
    CityIstanbul
    Period26/08/1229/08/12

    Keywords

    • Social network services
    • Unsolicited electronic mail
    • Communities
    • Blogs
    • Educational institutions
    • Humans
    • Automation

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  • Cite this

    Zhou, Y., Chen, K., Song, L., Yang, X., & He, J. (2012). Feature analysis of spammers in social networks with active honeypots: A case study of chinese microblogging networks. In Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 (pp. 728-729). [6425674] IEEE. https://doi.org/10.1109/ASONAM.2012.133