000000276 001__ 276
000000276 005__ 20130522141947.0
000000276 037__ $$aLERSSE-PRESENTATION-2012-001
000000276 100__ $$aYazan Boshmaf
000000276 245__ $$aKey Challenges in Defending Against Malicious Socialbots
000000276 260__ $$c2012-04-23
000000276 300__ $$amult. p
000000276 520__ $$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.
000000276 6531_ $$aSocialbots
000000276 6531_ $$aSocial Network Security
000000276 6531_ $$aLarge-scale Infiltration
000000276 6531_ $$aOnline Social Networks
000000276 6531_ $$aBotnets
000000276 700__ $$aIldar Muslukhov
000000276 700__ $$aKonstantin Beznosov
000000276 700__ $$aMatei Ripeanu
000000276 8560_ $$fboshmaf@ece.ubc.ca
000000276 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/276/files/276.pdf$$yTransfer from CDS 0.99.7
000000276 909C4 $$pUsenix 5th Workshop on Large-scale Exploits and Emerging Threats (LEET'12), San Jose, CA, USA.
000000276 980__ $$aPRESENTATION