Adversarial attacks and mitigation for anomaly detectors of cyber-physical systems

• Main Authors: JIA, Yifan, WANG, Jingyi, POSKITT, Christopher M., CHATTOPADHYAY, Sudipta, SUN, Jun, CHEN, Yuqi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Cyber-physical systems; industrial control systems; anomaly detectors; neural networks; adversarial attacks; testing defence mechanisms; Information Security; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/6438; https://ink.library.smu.edu.sg/context/sis_research/article/7441/viewcontent/adversarial_attacks_ijcip21.pdf
• Institution: Singapore Management University

The threats faced by cyber-physical systems (CPSs) in critical infrastructure have motivated research into a multitude of attack detection mechanisms, including anomaly detectors based on neural network models. The effectiveness of anomaly detectors can be assessed by subjecting them to test suites...