Foundations and Trends® in Robotics > Vol 9 > Issue 1

Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice

By Quanyan Zhu, New York University, USA, qz494@nyu.edu | Stefan Rass, Universität Klagenfurt, Austria, stefan.rass@aau.at | Bernhard Dieber, Joanneum Research, Austria, bernhard.dieber@joanneum.at | Víctor Mayoral Vilches, Alias Robotics and Universität Klagenfurt, Austria, victor@aliasrobotics.com

 
Suggested Citation
Quanyan Zhu, Stefan Rass, Bernhard Dieber and Víctor Mayoral Vilches (2021), "Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice", Foundations and Trends® in Robotics: Vol. 9: No. 1, pp 1-129. http://dx.doi.org/10.1561/2300000061

Publication Date: 16 Aug 2021
© 2021 Quanyan Zhu, Stefan Rass, Bernhard Dieber and Víctor Mayoral Vilches
 
Subjects
Artificial Intelligence in Robotics,  Industrial Robotics,  Mathematical Modelling,  Planning and Control,  Software Systems and Architectures,  Risk Analysis,  Algorithmic Game Theory,  Intrusion Detection,  Artificial Intelligence Methods in Security and Privacy,  Cyber-physical Systems Security and Privacy,  Metrics,  Network Security
 

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In this article:
1. Introduction to Robot Security
2. Cyber Issues, Security Architectures and Robot Operating System (ROS) Vulnerabilities
3. Security of Networked Robotic Systems
4. Security Practice and Design
5. Game Theory for Security
6. Discussions and Conclusions
Acknowledgements
References

Abstract

Robotics is becoming more and more ubiquitous, but the pressure to bring systems to market occasionally goes at the cost of neglecting security mechanisms during the development, deployment or while in production. As a result, contemporary robotic systems are vulnerable to diverse attack patterns, and an a posteriori hardening is at least challenging, if not impossible at all. This book aims to stipulate the inclusion of security in robotics from the earliest design phases onward and with a special focus on the costbenefit tradeoff that can otherwise be an inhibitor for the fast development of affordable systems. We advocate quantitative methods of security management and design, covering vulnerability scoring systems tailored to robotic systems, and accounting for the highly distributed nature of robots as an interplay of potentially very many components. A powerful quantitative approach to model-based security is offered by game theory, providing a rich spectrum of techniques to optimize security against various kinds of attacks. Such a multi-perspective view on security is necessary to address the heterogeneity and complexity of robotic systems. This book is intended as an accessible starter for the theoretician and practitioner working in the field.

DOI:10.1561/2300000061
ISBN: 978-1-68083-860-2
140 pp. $95.00
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ISBN: 978-1-68083-861-9
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Table of contents:
1. Introduction to Robot Security
2. Cyber Issues, Security Architectures and Robot Operating System (ROS) Vulnerabilities
3. Security of Networked Robotic Systems
4. Security Practice and Design
5. Game Theory for Security
6. Discussions and Conclusions
Acknowledgements
References

Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice

Robotics is becoming more and more ubiquitous, but the pressure to bring systems to market occasionally goes at the cost of neglecting security mechanisms during the development, deployment or while in production. As a result, contemporary robotic systems are vulnerable to diverse attack patterns, and a posteriori hardening is at least challenging, if not impossible at all. This book aims to stipulate the inclusion of security in robotics from the earliest design phases onward and with a special focus on the cost-benefit tradeoff that can otherwise be an inhibitor for the fast development of affordable systems. We advocate quantitative methods of security management and design, covering vulnerability scoring systems tailored to robotic systems, and accounting for the highly distributed nature of robots as an interplay of potentially very many components. A powerful quantitative approach to model-based security is offered by game theory, providing a rich spectrum of techniques to optimize security against various kinds of attacks. Such a multi-perspective view on security is necessary to address the heterogeneity and complexity of robotic systems. This book is intended as an accessible starter for the theoretician and practitioner working in the field.

 
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