To Make a Robot Secure: An Experimental Analysis of Cyber Security Threats Against Teleoperated Surgical Robots
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Abstract (arXiv)
Teleoperated robots are playing an increasingly important role in military actions and medical services. In the future, remotely operated surgical robots will likely be used in more scenarios such as battlefields and emergency response. But rapidly growing applications of teleoperated surgery raise the question; what if the computer systems for these robots are attacked, taken over and even turned into weapons? Our work seeks to answer this question by systematically analyzing possible cyber security attacks against Raven II, an advanced teleoperated robotic surgery system. We identify a slew of possible cyber security threats, and experimentally evaluate their scopes and impacts. We demonstrate the ability to maliciously control a wide range of robots functions, and even to completely ignore or override command inputs from the surgeon. We further find that it is possible to abuse the robot's existing emergency stop (E-stop) mechanism to execute efficient (single packet) attacks. We then consider steps to mitigate these identified attacks, and experimentally evaluate the feasibility of applying the existing security solutions against these threats. The broader goal of our paper, however, is to raise awareness and increase understanding of these emerging threats. We anticipate that the majority of attacks against telerobotic surgery will also be relevant to other teleoperated robotic and co-robotic systems.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2015.
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Citing papers per year: 2021: 1; 2022: 5; 2023: 2.
8 papers.
- 2023Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunitiescited by 9
- 2021Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systemscited by 5
- 2022Runtime Detection of Executional Errors in Robot-Assisted Surgerycited by 4
- 2022Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channelscited by 1
- 2023AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforcecited by 1
- 2022RoboMal: Malware Detection for Robot Network Systemscited by 0
- 2022Reconstructing Robot Operations via Radio-Frequency Side-Channelcited by 0
- 2022Fingerprinting Robot Movements via Acoustic Side Channelcited by 0
- 2023Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities12 Oct 2023
- 2023AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce15 Feb 2023
- 2022Fingerprinting Robot Movements via Acoustic Side Channel21 Sep 2022
- 2022Reconstructing Robot Operations via Radio-Frequency Side-Channel21 Sep 2022
- 2022Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels17 May 2022
- 2022Runtime Detection of Executional Errors in Robot-Assisted Surgery1 Mar 2022
- 2022RoboMal: Malware Detection for Robot Network Systems20 Jan 2022
- 2021Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems6 Apr 2021