survey

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

Authors:

Kaustubh Sridhar,

Insup LeeAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 8

Article No.: 211, Pages 1 - 31

https://doi.org/10.1145/3653974

Published: 26 April 2024 Publication History

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.

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Liu WJing FWang YGuo J(2024) Optimal Tampering Attack Strategy for FIR System Identification With Multi‐Level Quantized Observations International Journal of Robust and Nonlinear Control10.1002/rnc.7729Online publication date: 12-Dec-2024
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Index Terms

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works
1. Computer systems organization
2. Security and privacy
  1. Human and societal aspects of security and privacy
  2. Systems security

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Cyber-Physical Attacks: A Growing Invisible Threat

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 8

August 2024

963 pages

EISSN:1557-7341

DOI:10.1145/3613627

Editors:
David Atienza
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
,
Michela Milano
University of Bologna, Italy

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2024

Online AM: 27 March 2024

Accepted: 07 March 2024

Revised: 23 December 2023

Received: 26 August 2022

Published in CSUR Volume 56, Issue 8

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Cited By

Shi CSu JChu CWang BFeng D(2024)Balancing Privacy and Robustness in Prompt Learning for Large Language ModelsMathematics10.3390/math1221335912:21(3359)Online publication date: 26-Oct-2024
https://doi.org/10.3390/math12213359
Liu MZhang LXu WJiang SKong F(2024)CPSim: Simulation Toolbox for Security Problems in Cyber-Physical SystemsACM Transactions on Design Automation of Electronic Systems10.1145/367490429:5(1-16)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3674904
Liu WJing FWang YGuo J(2024) Optimal Tampering Attack Strategy for FIR System Identification With Multi‐Level Quantized Observations International Journal of Robust and Nonlinear Control10.1002/rnc.7729Online publication date: 12-Dec-2024
https://doi.org/10.1002/rnc.7729

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