RoboMal: Malware Detection for Robot Network Systems. (arXiv:2201.08470v1 [cs.RO])

Robot systems are increasingly integrating into numerous avenues of modern
life. From cleaning houses to providing guidance and emotional support, robots
now work directly with humans. Due to their far-reaching applications and
progressively complex architecture, they are being targeted by adversarial
attacks such as sensor-actuator attacks, data spoofing, malware, and network
intrusion. Therefore, security for robotic systems has become crucial. In this
paper, we address the underserved area of malware detection in robotic
software. Since robots work in close proximity …

arxiv detection network robot systems