A Survey on Security Control and Estimation for Cyber-Physical Systems Under Cyber-Attacks: Advances, Challenges and Future Directions

Cyber-physical systems (CPSs) are regarded as the backbone of the fourth industrial revolution, in which communication, physical processes, and computer technology are integrated. In modern industrial systems, CPSs are widely utilized across various domains, such as smart grids, smart healthcare systems, smart vehicles, and smart manufacturing, among others. Due to their unique spatial distribution, CPSs are highly vulnerable to cyber-attacks, which may result in severe performance degradation and even system instability. Consequently, the security concerns of CPSs have attracted significant attention in recent years. In this paper, a comprehensive survey on the security issues of CPSs under cyber-attacks is provided. Firstly, mathematical descriptions of various types of cyber-attacks are introduced in detail. Secondly, two types of secure estimation and control processing schemes, including robust methods and active methods, are reviewed. Thirdly, research findings related to secure control and estimation problems for different types of CPSs are summarized. Finally, the survey is concluded by outlining the challenges and suggesting potential research directions for the future.

Authors

Institutions

Publication Details

Journal
Artificial Intelligence Science and Engineering
Published
2025-03-01
DOI
https://doi.org/10.23919/aise.2025.000001
Citations
14
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
17.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Survey on Security Control and Estimation for Cyber-Physical Systems Under Cyber-Attacks: Advances, Challenges and Future Directions

Yezheng Wang, Lei Zou, Zidong Wang, Haoyang Yu
14 citations
Artificial Intelligence Science and Engineering
Smart Grid Security and Resilience
17.00
article

A Survey on Security Control and Estimation for Cyber-Physical Systems Under Cyber-Attacks: Advances, Challenges and Future Directions

Yezheng Wang, Lei Zou, Zidong Wang, Haoyang Yu
article en
14 citations

Abstract

Cyber-physical systems (CPSs) are regarded as the backbone of the fourth industrial revolution, in which communication, physical processes, and computer technology are integrated. In modern industrial systems, CPSs are widely utilized across various domains, such as smart grids, smart healthcare systems, smart vehicles, and smart manufacturing, among others. Due to their unique spatial distribution, CPSs are highly vulnerable to cyber-attacks, which may result in severe performance degradation and even system instability. Consequently, the security concerns of CPSs have attracted significant attention in recent years. In this paper, a comprehensive survey on the security issues of CPSs under cyber-attacks is provided. Firstly, mathematical descriptions of various types of cyber-attacks are introduced in detail. Secondly, two types of secure estimation and control processing schemes, including robust methods and active methods, are reviewed. Thirdly, research findings related to secure control and estimation problems for different types of CPSs are summarized. Finally, the survey is concluded by outlining the challenges and suggesting potential research directions for the future.

Artificial Intelligence Science and EngineeringVol. 1(1)
Donghua University (CN), Nanjing University of Information Science and Technology (CN), Brunel University of London (GB), Shandong University of Science and Technology (CN)
Climate action
Openalex Percentile: Top 1%
Smart Grid Security and Resilience
17.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.