A survey on security control and attack detection for industrial cyber-physical systems

By Derui Ding, Qing-Long Han, Yang Xiang, Xiaohua Ge, Xianming Zhang. Neurocomputing, 2018

842 citations recorded by the source corpus.

Abstract Cyber-physical systems (CPSs), which are an integration of computation, networking, and physical processes, play an increasingly important role in critical infrastructure, government and everyday life. Due to physical constraints, embedded computers and networks may give rise to some additional security vulnerabilities, which results in losses of enormous economy benefits or disorder of social life. As a result, it is of significant to properly investigate the security issue of CPSs to ensure that such systems are operating in a safe manner. This paper, from a control theory perspective, presents an overview of recent advances on security control and attack detection of industrial CPSs. First, the typical system modeling on CPSs is summarized to cater for the requirement of the performance analysis. Then three typical types of cyber-attacks, i.e. denial-of-service attacks, replay attacks, and deception attacks, are disclosed from an engineering perspective. Moreover, robustness, security and resilience as well as stability are discussed to govern the capability of weakening various attacks. The development on attack detection for industrial CPSs is reviewed according to the categories on detection approaches. Furthermore, the security control and state estimation are discussed in detail. Finally, some challenge issues are raised for the future research.

Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/35828d02a60e9b638d77a995448e0dc1e8e50560

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Citations in the corpus

Detecting and Preventing Cyber Insider Threats: A Survey (2018, background): “ous cyber attacks and threats is of paramount importance [1].”
Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks (2019, background): “Attacks in an NCS can be roughly categorized as [27]: 1) denial-of-service (DoS) attacks; 2) replay attacks; and 3) deception attacks [28].”
Deep Reinforcement Learning for Cyber Security (2019, methodology): “Among these ML applications, unsupervised and supervised learning methods have been used widely for intrusion detection [10]–[15], malware detection [16]–[19], cyber-physical attacks [20], [21], and data privacy protection [22].”
An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems (2018, background): “practical issue with the fast development of real-world network systems [95]–[98].”
A Survey on Security Communication and Control for Smart Grids Under Malicious Cyber Attacks (2019, background): “More detailed information on modeling of cyber-physical security scenarios in network environments can be seen in [34] and [50]–[52].”
An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “attacks jam the shared network medium to prevent agents from communicating with others [77].”
Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, background): “suitable detect mechanisms that can locate and identify the attacks in a timely fashion [133], and further warn the defender to allow corrective actions.”
Event-Triggered $H_\infty$ Load Frequency Control for Multiarea Power Systems Under Hybrid Cyber Attacks (2019, background): “Another kind of energy-limited attack, which is carried out by periodic or pulsewidth-modulated (PWM) signals, are discussed in [16] and [17], when respectively, exploring the resilient event-triggered controller design problem for NCSs and the state estimation issue for cyber-physical systems (CPSs”
A systems and control perspective of CPS security (2019, background): “The survey papers [73], [170] has reviewed some detection mechanisms for deception, as well as disruption attacks in cyber-physical systems.”
Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks (2020, neutral): “We refer to the recent survey [9] for more information on these attacks.”