Key challenges in defending against malicious socialbots

Yazan Boshmaf; Ildar Muslukhov; Konstantin Beznosov; Matei Ripeanu

Key challenges in defending against malicious socialbots

Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, Matei Ripeanu

University of British Columbia

Research output: Contribution to conference › Paper › peer-review

44 Citations (Scopus)

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.

Original language	English
Publication status	Published - 2012
Externally published	Yes
Event	5th USENIX Workshop on Large-Scale Exploits and Emergent Threats: Botnets, Spyware, Worms, New Emerging Threats, and More, LEET 2012 - San Jose, United States Duration: 24 Apr 2012 → …

Conference

Conference	5th USENIX Workshop on Large-Scale Exploits and Emergent Threats: Botnets, Spyware, Worms, New Emerging Threats, and More, LEET 2012
Country/Territory	United States
City	San Jose
Period	24/04/12 → …

Cite this

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title = "Key challenges in defending against malicious socialbots",

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.",

author = "Yazan Boshmaf and Ildar Muslukhov and Konstantin Beznosov and Matei Ripeanu",

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Key challenges in defending against malicious socialbots. / Boshmaf, Yazan; Muslukhov, Ildar; Beznosov, Konstantin et al.
2012. Paper presented at 5th USENIX Workshop on Large-Scale Exploits and Emergent Threats: Botnets, Spyware, Worms, New Emerging Threats, and More, LEET 2012, San Jose, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Key challenges in defending against malicious socialbots

AU - Boshmaf, Yazan

AU - Muslukhov, Ildar

AU - Beznosov, Konstantin

AU - Ripeanu, Matei

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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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M3 - Paper

AN - SCOPUS:85084095251

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Y2 - 24 April 2012

ER -

Key challenges in defending against malicious socialbots

Abstract

Conference

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