Mitigating adversarial attacks on data-driven invariant checkers for cyber-physical systems

• Main Authors: MAITI, Rajib Ranjan, YOONG, Cheah Huei, PALLETI, Venkata Reddy, SILVA, Arlindo, POSKITT, Christopher M.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Cyber-physical systems; Data-driven invariants; Design-driven invariants; Axiomatic design; Adversarial attacks; Databases and Information Systems; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7198; https://ink.library.smu.edu.sg/context/sis_research/article/8201/viewcontent/mitigating_adversarial_attacks_tdsc22.pdf
• Institution: Singapore Management University

The use of invariants in developing security mechanisms has become an attractive research area because of their potential to both prevent attacks and detect attacks in Cyber-Physical Systems (CPS). In general, an invariant is a property that is expressed using design parameters along with Boolean op...