2024/07/09 by Francisco Martín, Enrique Soriano, Martín, Francisco +9 · 3 citations
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Information and Cyber Security #Network Security and Intrusion Detection #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.2407.06669
openalex publication_date 2024/07/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Social Robots need to be safe and reliable to share their space with humans. This paper reports on the first results of a research project that aims to create more safe and reliable, intelligent autonomous robots by investigating the implications and interactions between cybersecurity and safety. We propose creating a robotic intrusion prevention system (RIPS) that follows a novel approach to detect and mitigate intrusions in cognitive social robot systems and other cyber-physical systems. The RIPS detects threats at the robotic communication level and enables mitigation of the cyber-physical threats by using System Modes to define what part of the robotic system reduces or limits its functionality while the system is compromised. We demonstrate the validity of our approach by applying it to a cognitive architecture running in a real social robot that preserves the privacy and safety of humans while facing several cyber attack situations.