[POSTER] The Socialbot Network: When Bots Socialize for Fame and Money
Yazan Boshmaf ; Ildar Muslukhov ; Konstantin Beznosov ; Matei Ripeanu
27 September 2011
Abstract: Online Social Networks (OSNs) have become an integral part of today's Web. Politicians, celebrities, revolutionists, and others use OSNs as a podium to deliver their message to millions of active web users. Unfortunately, in the wrong hands, OSNs can be used to run astroturf campaigns to spread misinformation and propaganda. Such campaigns usually start off by infiltrating a targeted OSN on a large scale. In this research, we evaluate how vulnerable OSNs are to a large-scale infiltration by socialbots: computer programs that control OSN accounts and mimic real users. We adopt a traditional web-based botnet design and built a Socialbot Network (SbN): a group of adaptive socialbots that are orchestrated in a command-and-control fashion. We operated such an SbN on Facebook—a 750 million user OSN—for about 8 weeks. We collected data related to users' behavior in response to a large-scale infiltration where socialbots were used to connect to a large number of Facebook users. Our results show that (1) OSNs, such as Facebook, can be infiltrated with a success rate of up to 80%, (2) depending on users' privacy settings, a successful infiltration can result in privacy breaches where even more users' data are exposed when compared to a purely public access, and (3) in practice, OSN security defenses, such as the Facebook Immune System, are not effective enough in detecting or stopping a large-scale infiltration as it occurs.
Keyword(s): Online Social Networks ; Social Network Security ; Large-scale Infiltration ; Socialbots ; Botnets
Published in: Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, and Matei Ripeanu. The socialbot network: when bots socialize for fame and money. In the Poster Session of the 20th USENIX Conference on Security (SEC'11), August 2011.:
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Record created 2011-09-27, last modified 2013-05-22