Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works

Author:

Lu Pengyuan1ORCID,Zhang Lin1ORCID,Liu Mengyu2ORCID,Sridhar Kaustubh1ORCID,Sokolsky Oleg1ORCID,Kong Fanxin2ORCID,Lee Insup1ORCID

Affiliation:

1. University of Pennsylvania, Philadelphia, United States

2. University of Notre Dame, Notre Dame, United States

Abstract

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.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CPSim: Simulation Toolbox for Security Problems in Cyber-Physical Systems;ACM Transactions on Design Automation of Electronic Systems;2024-09-04

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