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abstract

Robot Social Engineering: Attacking Human Factors with Non-Human Actors

Published: 01 March 2018 Publication History

Abstract

Social robots may make use of social abilities such as persuasion, commanding obedience, and lying. Meanwhile, the field of computer security and privacy has shown that these interpersonal skills can be applied by humans to perform social engineering attacks. Social engineering attacks are the deliberate application of manipulative social skills by an individual in an attempt to achieve a goal by convincing others to do or say things that may or may not be in their best interests. In our work we argue that robot social engineering attacks are already possible and that defenses should be developed to protect against these attacks. We do this by defining what a robot social engineer is, outlining how previous research has demonstrated robot social engineering, and discussing the risks that can accompany robot social engineering attacks.

References

[1]
Amy Banh, Daniel J Rea, James E Young, and Ehud Sharlin . 2015. Inspector Baxter: The Social Aspects of Integrating a Robot as a Quality Inspector in an Assembly Line. In Proceedings of the 3rd International Conference on Human-Agent Interaction. ACM, 19--26.
[2]
Tamara Bonaci, Jeffrey Herron, Tariq Yusuf, Junjie Yan, Tadayoshi Kohno, and Howard Jay Chizeck . 2015. To make a robot secure: An experimental analysis of cyber security threats against teleoperated surgical robots. arXiv preprint arXiv:1504.04339 (2015).
[3]
Serena Booth, James Tompkin, Hanspeter Pfister, Jim Waldo, Krzysztof Gajos, and Radhika Nagpal . 2017. Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 426--434.
[4]
Sonja Caraian, Nathan Kirchner, and Peter Colborne-Veel . 2015. Moderating a Robot's Ability to Influence People Through its Level of Sociocontextual Interactivity. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction. ACM, 149--156.
[5]
Derek Cormier, Gem Newman, Masayuki Nakane, James E Young, and Stephane Durocher . 2013. Would you do as a robot commands? an obedience study for human-robot interaction International Conference on Human-Agent Interaction.
[6]
Kate Darling . 2015. "Who's Johnny?"Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy. (2015).
[7]
Tamara Denning, Cynthia Matuszek, Karl Koscher, Joshua R Smith, and Tadayoshi Kohno . 2009. A spotlight on security and privacy risks with future household robots: attacks and lessons Proceedings of the 11th international conference on Ubiquitous computing. ACM, 105--114.
[8]
Jodi Forlizzi . 2007. How robotic products become social products: an ethnographic study of cleaning in the home Proceedings of the ACM/IEEE international conference on Human-robot interaction. ACM, 129--136.
[9]
Michael A Goodrich, Jacob W Crandall, and Emilia Barakova . 2013. Teleoperation and beyond for assistive humanoid robots. Reviews of Human factors and ergonomics Vol. 9, 1 (2013), 175--226.
[10]
Christopher Hadnagy . 2010. Social engineering: The art of human hacking. John Wiley & Sons.
[11]
Alex Hern . 2017. Roomba maker may share maps of users' homes with Google, Amazon or Apple. https://www.theguardian.com/technology/2017/jul/25/roomba-maker-could-share-maps-users-homes-google-amazon-apple-irobot-robot-vacuum. (2017). Accessed: 2017--10--25.
[12]
Kevin D Mitnick and William L Simon . 2011. The art of deception: Controlling the human element of security. John Wiley & Sons.
[13]
Francois Mouton, Louise Leenen, and Hein S Venter . 2016. Social engineering attack examples, templates and scenarios. Computers & Security Vol. 59 (2016), 186--209.
[14]
Eduardo Ben'ıtez Sandoval, Jürgen Brandstetter, and Christoph Bartneck . 2016. Can a robot bribe a human? The measurement of the negative side of reciprocity in human robot interaction. In Human-Robot Interaction (HRI), 2016 11th ACM/IEEE International Conference on. IEEE, 117--124.
[15]
Elaine Short, Justin Hart, Michelle Vu, and Brian Scassellati . 2010. No fair!! an interaction with a cheating robot. In Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on. IEEE, 219--226.

Cited By

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  • (2024)Dialog z chatbotem. Ujęcie mediolingwistyczne10.22367/uekat.9788378758990Online publication date: 2024
  • (2023)Human and Cognitive Factors involved in Phishing Detection. A Literature Review2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)10.1109/CSCE60160.2023.00105(608-614)Online publication date: 24-Jul-2023
  • (2023)Information Security: Identification of Risk Factors Through Social EngineeringInformation Technology and Systems10.1007/978-3-031-33258-6_9(83-93)Online publication date: 11-Jul-2023
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Published In

cover image ACM Conferences
HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
March 2018
431 pages
ISBN:9781450356152
DOI:10.1145/3173386
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2018

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Author Tags

  1. computer security
  2. human-robot interaction
  3. privacy
  4. social engineering

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  • NSERC

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HRI '18
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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;
Overall Acceptance Rate 192 of 519 submissions, 37%

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Cited By

View all
  • (2024)Dialog z chatbotem. Ujęcie mediolingwistyczne10.22367/uekat.9788378758990Online publication date: 2024
  • (2023)Human and Cognitive Factors involved in Phishing Detection. A Literature Review2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)10.1109/CSCE60160.2023.00105(608-614)Online publication date: 24-Jul-2023
  • (2023)Information Security: Identification of Risk Factors Through Social EngineeringInformation Technology and Systems10.1007/978-3-031-33258-6_9(83-93)Online publication date: 11-Jul-2023
  • (2022)Social Robots and Dark Patterns: Where Does Persuasion End and Deception Begin?Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues10.1007/978-3-030-74188-4_7(89-110)Online publication date: 11-Feb-2022
  • (2022)Enhanced social engineering framework mitigating against social engineering attacks in higher educationSECURITY AND PRIVACY10.1002/spy2.2375:5Online publication date: 18-May-2022
  • (2021)Overtrusting robots: Setting a research agenda to mitigate overtrust in automationPaladyn, Journal of Behavioral Robotics10.1515/pjbr-2021-002912:1(423-436)Online publication date: 14-Oct-2021
  • (2021)Workplace Bullying in the Context of Robotization: Contemplating the Future of the FieldConcepts, Approaches and Methods10.1007/978-981-13-0134-6_22(293-321)Online publication date: 5-Jan-2021
  • (2020)Security Risks of Social Robots Used to Persuade and ManipulateCompanion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3371382.3378341(523-525)Online publication date: 23-Mar-2020
  • (2019)Forgetfulness as a featureProceedings of Mensch und Computer 201910.1145/3340764.3344916(825-830)Online publication date: 8-Sep-2019
  • (2019)Backseat Teleoperator: Affective Feedback with On-Screen Agents to Influence Teleoperation2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI.2019.8673014(19-28)Online publication date: Mar-2019
  • Show More Cited By

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