Policy Selection and Scheduling of Cyber-Physical Systems with Denial-of-Service Attacks via Reinforcement Learning

• Published in: Journal of advanced computational intelligence and intelligent informatics Vol. 28; no. 4; pp. 962 - 973
• Main Authors: Jin, Zengwang, Li, Qian, Zhang, Huixiang, Liu, Zhiqiang, Wang, Zhen
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Co. Ltd 01.07.2024
• Subjects: Algorithms; Control methods; Cyber-physical systems; Cybersecurity; Damage assessment; Denial of service attacks; Dynamic programming; Game theory; Machine learning; Optimization; Real time operation; Robust control; Scheduling; Sensors; State estimation

This paper focuses on policy selection and scheduling of sensors and attackers in cyber-physical systems (CPSs) with multiple sensors under denial-of-service (DoS) attacks. DoS attacks have caused enormous disruption to the regular operation of CPSs, and it is necessary to assess this damage. The st...