Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice
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by
Quanyan Zhu, Stefan Rass, Bernhard Dieber, Victor Mayoral Vilches
2021
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 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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