Learning-guided network fuzzing for testing cyber-physical system defences

• Main Authors: CHEN, Yuqi, POSKITT, Christopher M., SUN, Jun, ADEPU, Sridhar, ZHANG, Fan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: cyber-physical systems; fuzzing; testing; benchmark generation; machine learning; metaheuristic optimisation; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4905; https://ink.library.smu.edu.sg/context/sis_research/article/5908/viewcontent/Chen_Poskitt_et_al.ASE.2019.pdf
• Institution: Singapore Management University

The threat of attack faced by cyber-physical systems (CPSs), especially when they play a critical role in automating public infrastructure, has motivated research into a wide variety of attack defence mechanisms. Assessing their effectiveness is challenging, however, as realistic sets of attacks to...