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Key Challenges in Defending Against Malicious Socialbots
Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, and Matei Ripeanu, University of British Columbia
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.
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author = {Yazan Boshmaf and Ildar Muslukhov and Konstantin Beznosov and Matei Ripeanu},
title = {Key Challenges in Defending Against Malicious Socialbots},
booktitle = {Presented as part of the 5th {USENIX} Workshop on Large-Scale Exploits and Emergent Threats},
year = {2012},
address = {San Jose, CA},
url = {https://www.usenix.org/conference/leet12/key-challenges-defending-against-malicious-socialbots},
publisher = {{USENIX}},
}
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