Visible to the public Abnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats

TitleAbnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats
Publication TypeConference Paper
Year of Publication2020
AuthorsGorbenko, A., Popov, V.
Conference Name2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Date PublishedMay 2020
ISBN Number978-1-7281-4590-7
Keywordsabnormal behavioral pattern detection, abnormal behavioral pattern detection technique, anomaly detection, closed loop systems, closed-loop robotic systems, composability, control engineering computing, Cyber-physical systems, deceptive attacks, defense, intrusion detection system, Intrusion Detection Systems, Metrics, pubcrawl, resilience, Resiliency, security of data, Service robots, Zero day attacks, zero-day deceptive attacks, zero-day threats

In recent years, attacks against cyber-physical systems have become increasingly frequent and widespread. The inventiveness of such attacks increases significantly. In particular, zero-day attacks are widely used. The rapid development of the industrial Internet of things, the expansion of the application areas of service robots, the advent of the Internet of vehicles and the Internet of military things have led to a significant increase of attention to deceptive attacks. Especially great threat is posed by deceptive attacks that do not use hiding malicious components. Such attacks can naturally be used against robotic systems. In this paper, we consider an approach to the development of an intrusion detection system for closed-loop robotic systems. The system is based on an abnormal behavioral pattern detection technique. The system can be used for detection of zero-day deceptive attacks. We provide an experimental comparison of our approach and other behavior-based intrusion detection systems.

Citation Keygorbenko_abnormal_2020