Simultaneous Event-Triggered Fault Detection and Estimation for Stochastic Systems Subject to Deception Attacks

Abstract

In this paper, a synthesized design of fault-detection filter and fault estimator is considered for a class of discrete-time stochastic systems in the framework of event-triggered transmission scheme subject to unknown disturbances and deception attacks. A random variable obeying the Bernoulli distribution is employed to characterize the phenomena of the randomly occurring deception attacks. To achieve a fault-detection residual is only sensitive to faults while robust to disturbances, a coordinate transformation approach is exploited. This approach can transform the considered system into two subsystems and the unknown disturbances are removed from one of the subsystems. The gain of fault-detection filter is derived by minimizing an upper bound of filter error covariance. Meanwhile, system faults can be reconstructed by the remote fault estimator. An recursive approach is developed to obtain fault estimator gains as well as guarantee the fault estimator performance. Furthermore, the corresponding event-triggered sensor data transmission scheme is also presented for improving working-life of the wireless sensor node when measurement information are aperiodically transmitted. Finally, a scaled version of an industrial system consisting of local PC, remote estimator and wireless sensor node is used to experimentally evaluate the proposed theoretical results. In particular, a novel fault-alarming strategy is proposed so that the real-time capacity of fault-detection is guaranteed when the event condition is triggered.

An Event-Triggered Fault Detection Approach in Cyber-Physical Systems with Sensor Nonlinearities and Deception Attacks

“…For example, a security-guaranteed filtering problem in [31] is studied, where a new security criterion is introduced including the noise intensity, the energy bound of the false signals, the energy of the initial system state, and the desired security degree. In [32], a coordinate transformation approach is exploited for a synthesized design of fault-detection filter and fault estimator against false data injection attacks. A jamming attack issue is considered in [33] for remote state estimation of CPSs, where the sensor and the attacker with constrained resources are regarded as the two players of a zero-sum game.…”

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

“…The complexity and significance of investigating this kind of attack have inspired many fruitful research efforts. In [20], an integrated design approach to simultaneously address the fault detection and fault estimation problems in discrete-time stochastic systems with event-triggered transmission, subject to unknown disturbances and randomly occurring deception attacks, was proposed. The remote state estimation in a multi-sensor framework was considered in [21], where the problem of detection against deception attacks was addressed.…”

Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks

“…Deception attacks, denial of service attacks and false information injection attacks are the mostly frequently occurred phenomena over WSNs. These attacks should be adequately considered during system analysis/synthesis to prevent undesired behavior (e.g., degradation, divergence, and instability), thus have attracted considerable attention during the past few years, see [21][22][23]. In addition, in practical applications, many factors may cause random changes in the topology of communication networks.…”