Active fuzzing for testing and securing cyber-physical systems

• Main Authors: CHEN, Yuqi, XUAN, Bohan, POSKITT, Christopher M., SUN, Jun, ZHANG, Fan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: cyber-physical systems; fuzzing; active learning; benchmark generation; testing defence mechanisms; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5189; https://ink.library.smu.edu.sg/context/sis_research/article/6192/viewcontent/active_fuzzing_issta20.pdf
• Institution: Singapore Management University

Cyber-physical systems (CPSs) in critical infrastructure face a pervasive threat from attackers, motivating research into a variety of countermeasures for securing them. Assessing the effectiveness of these countermeasures is challenging, however, as realistic benchmarks of attacks are difficult to...