SESAME: Automated Security Assessment of Robots and Modern Multi-Robot Systems

• DOI: 10.3390/electronics14050923
• Publication Date: 2025-02-26T13:28:31Z
• Authors: Manos Papoutsakis; George Hatzivasilis; Emmanouil Michalo...; Sotiris Ioannidis; Maria Michael; Antonis Savva; Panagiota Nikolaou; Eftychia Stokkou; Gizem Bozdemir

As robotic systems become more integrated into our daily lives, there is growing concern about cybersecurity. Robots used in areas such as autonomous driving, surveillance, surgery, home assistance, and industrial automation can be vulnerable to cyber-attacks, which could have serious real-world consequences. Modern face a unique set of threats due their evolving characteristics. This paper outlines the SESAME project’s methodology for automated security analysis multi-robot (MRS) production Executable Digital Dependability Identities (EDDIs). Addressing challenges MRS involves overcoming complex factors increased connectivity, human–robot interactions, lack risk awareness. The proposed encompasses detailed process, starting from system description vulnerability identification moving generation attack trees EDDIs. leverages structured repositories like Common Vulnerabilities Exposures (CVE), Weakness Enumeration (CWE), Attack Pattern Classification (CAPEC) identify potential vulnerabilities associated attacks. introduction Template Trees facilitates modeling attacks, helping experts develop effective mitigation strategies. approach not only identifies, but also connects, specific possible exploits, thereby generating comprehensive assessments. By merging safety assessments, this ensures overall dependability MRS, providing robust framework mitigate cyber–physical threats.