Abnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats
| Autor: | Vladimir Popov, Anna Gorbenko |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Service (systems architecture) business.industry Computer science 0211 other engineering and technologies Behavioral pattern 02 engineering and technology Intrusion detection system Computer security computer.software_genre Zero (linguistics) Robotic systems 020204 information systems 0202 electrical engineering electronic engineering information engineering Robot The Internet Anomaly detection business computer |
| Zdroj: | 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). |
| Popis: | 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 behaviorbased intrusion detection systems. |
| Databáze: | OpenAIRE |
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