Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS)
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Abstract (arXiv)
Robots are typically not created with security as a main concern. Contrasting to typical IT systems, cyberphysical systems rely on security to handle safety aspects. In light of the former, classic scoring methods such as the Common Vulnerability Scoring System (CVSS) are not able to accurately capture the severity of robot vulnerabilities. The present research work focuses upon creating an open and free to access Robot Vulnerability Scoring System (RVSS) that considers major relevant issues in robotics including a) robot safety aspects, b) assessment of downstream implications of a given vulnerability, c) library and third-party scoring assessments and d) environmental variables, such as time since vulnerability disclosure or exposure on the web. Finally, an experimental evaluation of RVSS with contrast to CVSS is provided and discussed with focus on the robotics security landscape.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Jul 2018.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2022Vulnerability Prioritization: An Offensive Security Approachcited by 1
- 2026From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructurecited by 0
- 2026LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehiclescited by 0
- 2026LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles13 Aug 2026
- 2026From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure9 Jul 2026
- 2022Vulnerability Prioritization: An Offensive Security Approach22 Jun 2022