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000000275 005__ 20130522141940.0
000000275 037__ $$aLERSSE-RefConfPaper-2012-002
000000275 100__ $$aYazan Boshmaf
000000275 245__ $$aKey Challenges in Defending Against Malicious Socialbots
000000275 260__ $$c2012-03-26
000000275 300__ $$amult. p
000000275 520__ $$aThe ease with which we adopt online personas and relationships has created a soft spot that cyber criminals are willing to exploit. Advances in artificial intelligence make it feasible to design bots that sense, think and act cooperatively in social settings just like human beings. In the wrong hands, these bots can be used to infiltrate online communities, build up trust over time and then send personalized messages to elicit information, sway opinions and call to action. In this position paper, we observe that defending against such malicious bots raises a set of unique challenges that relate to web automation, online-offline identity binding and usable security.
000000275 6531_ $$aOnline Social Networks
000000275 6531_ $$aSocial Network Security
000000275 6531_ $$aLarge-scale Infiltration
000000275 6531_ $$aSocialbots
000000275 6531_ $$aBotnets
000000275 700__ $$aIldar Muslukhov
000000275 700__ $$aKonstantin Beznosov
000000275 700__ $$aMatei Ripeanu
000000275 8560_ $$fboshmaf@ece.ubc.ca
000000275 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/275/files/275.pdf$$yTransfer from CDS 0.99.7
000000275 909C4 $$pYazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, Matei Ripeanu. Key challenges in defending against malicious socialbots. In Proceedings of the 5th USENIX workshop on Large-scale exploits and emergent threats, LEET'12, Berkeley, CA, USA. USENIX Association.
000000275 980__ $$aRefConfPaper