Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works
<|reference_start|>Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works: Cyber-physical systems (CPS) have experienced rapid growth in recent decades. However, like any other computer-based systems, malicious attacks evolve mutually, driving CPS to undesirable physical states and potentially causing catastrophes. Although the current state-of-the-art is well aware of this issue, the majority of researchers have not focused on CPS recovery, the procedure we defined as restoring a CPS's physical state back to a target condition under adversarial attacks. To call for attention on CPS recovery and identify existing efforts, we have surveyed a total of 30 relevant papers. We identify a major partition of the proposed recovery strategies: shallow recovery vs. deep recovery, where the former does not use a dedicated recovery controller while the latter does. Additionally, we surveyed exploratory research on topics that facilitate recovery. From these publications, we discuss the current state-of-the-art of CPS recovery, with respect to applications, attack type, attack surfaces and system dynamics. Then, we identify untouched sub-domains in this field and suggest possible future directions for researchers.<|reference_end|>
@article{lu2024recovery,
    title={Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow,
  Deep and Exploratory Works},
    author={Pengyuan Lu and Lin Zhang and Mengyu Liu and Kaustubh Sridhar and
  Fanxin Kong and Oleg Sokolsky and Insup Lee},
    journal={ACM Computing Surveys 1 (2024) 1-31},
    year={2024},
    doi={10.1145/3653974},
    archivePrefix={arXiv},
    eprint={2404.04472},
    primaryClass={eess.SY cs.SY}
}