Key Challenges in Defending Against Malicious Socialbots

Yazan Boshmaf ; Ildar Muslukhov ; Konstantin Beznosov ; Matei Ripeanu

23 April 2012

Abstract: The 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.

Keyword(s): Socialbots ; Social Network Security ; Large-scale Infiltration ; Online Social Networks ; Botnets

Published in: Usenix 5th Workshop on Large-scale Exploits and Emerging Threats (LEET'12), San Jose, CA, USA.:

The record appears in these collections:
Network Security

 Record created 2012-04-28, last modified 2013-05-22

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