Observer‐Based Sensor Attack Diagnosis for Cyber‐Physical Systems via Zonotope Theory

Abstract

This paper investigates the attack detection, isolation and reconstruction problems for cyber-physical systems (CPSs) under sensor attacks. We deal with all the issues in view of an overall system instead of every subsystem. To begin with, a Luenberger-like observer is designed and a state interval estimation method is proposed based on the zonotope theory. And then, a sensor attack detection scheme is developed by using the interval estimation of the output error as the dynamic residual. Besides, the sensor detection method is modified to form a sensor attack isolation method to locate the exact subsystems suffering from sensor attacks. Moreover, by treating sensor attacks as part of the states, an augmented descriptor system is constructed and the state and sensor attack asymptotic estimation problems are discussed in detail. Finally, a simulation example is given to verify the effectiveness of the proposed methods.

Model‐based fault diagnosis of networked systems: A survey

“…H∞ filtering and LMI Fading measurements [11,23] Quantization effects [74] Stochastic additive faults [15,28] Medium access constraints [14] Unknown transition probability [75] Comprehensive incomplete measurements [12,13,25,26] EM algorithm under the Bayesian framework Asynchronous measurements in distributed systems [54] Residual generating based on fault diagnosis filters and observers Additive faults & incomplete measurements [7,8,17,24,27,31,32,46,47] Attacks on sensors [73] Soft faults & packet dropouts [48] Actuator faults [42,45] Faulty periodic communication [30] Cyber attacks [39,76] Sliding mode observer Attacks on sensors [72] Unknown input observer False data injection attacks [35] Minimum-variance filtering and Kalman filtering Cyber attacks [20,37,64,70] Additive faults [49] Homomorphic encryption [77] Particle filtering Cyber attacks [41,69] Strong tracking filtering Packet dropouts [78] Distributed resilient filtering Sensor degradation [79] Self-learning approaches Additive sensor fault [71,75,…”

Deception attack monitoring in vulnerable hydroelectric generator system

“…Instead of using the parametrized approach proposed in Darouach and Zasadzinski [26] to minimize tr(P k|k ) with respect to K k under (13), which requires pre-computing off-line the structure of K k for each possible combinatorial situation of the binary sequence…”

“…Finally, physical attacks on sensors and actuators that are roughly considered as faults in traditional model-based fault detection and isolation (FDI) schemes [9][10][11][12]. In a previous study [13], the authors investigate the attack detection, isolation, and reconstruction problems for cyber physical systems (CPS). A Luenberger-like observer is designed, and state interval estimation method is proposed based on the zonotope theory.…”

Secure state estimation for unmanned aircraft cyber‐physical systems under multiple attacks

“…After the controller has a correct understanding of the physical process, it sends control instructions to the actuator through the actuator network transmission to realize the feedback control of the physical process. Recently, many emerging attacks specifically targeting the communication and control systems in CPS are exposed [1][2][3], such as denial-of-service (DoS) attack and random attack. The attacker may implement DoS attack on the sensor output communication link, resulting in the loss of transmission data.…”