Security analysis and defense strategy of distributed filtering under false data injection attacks

Zhou, Jiayu; Yang, Wen; Zhang, Heng; Zheng, Wei Xing; Xu, Yong; Tang, Yang

doi:10.1016/j.automatica.2021.110151

Cited by 28 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The state vector is defined as x k = [ζ k , ζk , η k , ηk ] T , which consists of position (ζ k , η k ) and velocity ( ζk , ηk ). The tracking system considered in this section is as described in (1) and (2), where the relevant parameters are defined as follows:…”

Section: Simulation Resultsmentioning

confidence: 99%

“…With the advancement of communication technologies, networked multi-sensor systems have garnered significant interest in recent decades [1,2]. Networked multi-sensor systems contain components connected via a shared network, thus reducing unnecessary wired connections, lowering installation costs, and increasing system scalability [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Cheng,

Yang,

Yuan

et al. 2024

Sensors

View full text Add to dashboard Cite

Cyber-security research on networked multi-sensor systems is crucial due to the vulnerability to various types of cyberattacks. For the development of effective defense measures, attention is required to gain insight into the complex characteristics and behaviors of cyber attacks from the attacker’s perspective. This paper aims to tackle the problem of distributed consensus estimation for networked multi-sensor systems subject to hybrid attacks and missing measurements. To account for both random denial of service (DoS) attacks and false data injection (FDI) attacks, a hybrid attack model on the estimator-to-estimator communication channel is presented. The characteristics of missing measurements are defined by random variables that satisfy the Bernoulli distribution. Then a modified consensus-based distributed estimator, integrated with the characteristics of hybrid attacks and missing measurements, is presented. For reducing the computational complexity of the optimal distributed estimation method, a scalable suboptimal distributed consensus estimator is designed. Sufficient conditions are further provided for guaranteeing the stability of the proposed suboptimal distributed estimator. Finally, a simulation experiment on aircraft tracking is executed to validate the effectiveness and feasibility of the proposed algorithm.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Cheng,

Yang,

Yuan

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Such interference factors often cause greater damage to the intelligent connected vehicle system. Common network attacks are denial of service attacks, 18 deception attacks, 19 and replay attacks. 20 Deception attack is also called false data injection attack.…”

Section: Introductionmentioning

confidence: 99%

Robust control strategy for networked vehicle system with fake data injection attack

Zhu

Chen

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

This article investigates the safety control problem of intelligent networked vehicle and utilizes the sliding-mode control to solve the system with time delay, system disturbance, and parameter uncertainty. First, the modeling of automobile system is introduced. What’s more, time delay, parameter uncertainty, disturbance, and attack are added to the original model. Then, designed an integral sliding-mode surface and given the sufficient conditions for system stability using linear matrix inequalities. Furthermore, the controller is designed according to the slide approach rate, and it is proved that the designed controller can make the system state reach the sliding surface in finite time. Finally, the simulation is used to verify the effectiveness of the arithmetic.

show abstract

“…The former focuses on affecting the data integrity by modifying the transmitted data packets. [16][17][18][19] Aside from deception attacks, DoS attacks can expose the availability of the communication network. Since its easy implementability and large dangerousness, the DoS attack have drawn unprecedented attention nowadays.…”

Section: Introductionmentioning

confidence: 99%

“…According to different attack characteristics, the existing cyber attacks can be roughly divided into two categories, deception attacks and denial‐of‐service (DoS) attacks. The former focuses on affecting the data integrity by modifying the transmitted data packets 16‐19 . Aside from deception attacks, DoS attacks can expose the availability of the communication network.…”

Section: Introductionmentioning

confidence: 99%

Novel attack‐defense framework for nonlinear complex networks: An important‐data‐based method

Wang

Wei

Liu

2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This article addresses the state estimation problem for a class of nonlinear complex networks (CNs) under attack. First, a novel important-data-based (IDB) attack strategy is skillfully proposed from the adversary's point of view to maximize the attack effect. Different from most existing attack models, the IDB attacker has the ability to eavesdrop measurements and only attacks the packets which play an important role in the system. As such, a larger system performance degradation can be expected. Second, a new kind of resilient H ∞ estimator is designed, from the perspective of the defenders, to alleviate the negative effect of the attack. In a word, a novel unified attack-defense framework for nonlinear CNs is established. In order to make up for the defect that the IDB attacker's parameter is unknown to the defender, an algorithm is developed to approximate the attack parameter. With the help of the Lyapunov functional method, sufficient conditions are obtained to resist the proposed IDB attack and ensure the H ∞ performance of the augmented system. At last, two examples are given to demonstrate the destructiveness of the proposed IDB attack strategy and the effectiveness of the developed resilient H ∞ estimator, respectively.

show abstract

Security analysis and defense strategy of distributed filtering under false data injection attacks

Cited by 28 publications

References 29 publications

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Robust control strategy for networked vehicle system with fake data injection attack

Novel attack‐defense framework for nonlinear complex networks: An important‐data‐based method

Contact Info

Product

Resources

About