Observer-based detection and reconstruction of dynamic load altering attack in smart grid

Su, Qingyu; Li, Shuqi; Gao, Yanru; Huang, Xin; Li, Jian

doi:10.1016/j.jfranklin.2021.02.008

Cited by 38 publications

(46 citation statements)

References 19 publications

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“…Remark 9: An appropriate threshold of tampering rate of image attacks for double-layer detector is the key to judge the validity of images. Most of the existing threshold selection methods generally include theoretical derivation [47], statistical analysis [48] and machine learning [49], etc. According to the statistical results of real-world experiments, the thresh-olds of image attack tampering rate are determined.…”

Section: ) Threshold Selection Of Attack Detectionmentioning

confidence: 99%

Co-Design Secure Control Based on Image Attack Detection and Data Compensation for Networked Visual Control Systems

Zhang

et al. 2022

IEEE Trans. Instrum. Meas.

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The incomplete and untrue data caused by cyber attacks (e.g., image information leakage and tampering) will affect control performance and even lead to system instability. To address this problem, a novel co-design secure control method based on image attack detection and data compensation for networked visual control systems (NVCSs) is proposed. Firstly, the existing problems of NVCSs under image attacks are analyzed, and a co-design secure control method including image encryption, watermarking-based attack detection and online data compensation is presented. Then, a detector based on doublelayer detection mechanism of timeout and digital watermarking is designed for real-time, integrity and authenticity discrimination of the image. Furthermore, according to the detection results, an online compensation scheme based on cubic spline interpolation and post-prediction update is proposed to reduce the effect of cumulative errors and improve control performance. Finally, the online compensation scheme is optimized by considering the characters of networked inverted pendulum visual control systems, and experimental results demonstrate the feasibility and effectiveness of the proposed detection and control method.

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Section: ) Threshold Selection Of Attack Detectionmentioning

confidence: 99%

Co-Design Secure Control Based on Image Attack Detection and Data Compensation for Networked Visual Control Systems

Zhang

et al. 2022

IEEE Trans. Instrum. Meas.

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“…To illustrate the superiority of the proposed method, we constructed the comparative simulations. Compared with the resilient consensus scheme of attack estimation method proposed in Su et al, 30 the superiority of the proposed scheme is analyzed.…”

Section: Simulation Examplesmentioning

confidence: 99%

Guaranteed-performance resilient consensus for multi-agent systems subject to actuator attacks

Pan

Lyu

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article is concerned with achieving resilient consensus for multi-agent systems under cyber attacks. Without loss of generality, we consider a leader-following multi-agent system where each agent is modeled with a Lipschitz nonlinear model, and the actuator attacks are imposed on agents’ states. To begin with, an adaptive observer is constructed to estimate the attacks for each follower based on relative output errors with respect to its neighbors and the leader. The global error system is proved to be asymptotically stable. Moreover, a resilient consensus control protocol is proposed for each follower where the guaranteed-performance is considered. Under this control protocol, the impact of the attack is compensated and the state of each agent is consistent. Different from the existing secure control scheme, the new one can simultaneously resist multiple types of attacks. Finally, simulation results are given to verify the effectiveness of attack estimation and resilient consensus control protocol for multi–unmanned aerial vehicle systems.

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“…Application of detection logic to detect state attacks and sensor attack detection by comparing the threshold with the estimated attack. [74] Dynamic load altering attacks (D-LAA) on cyber-physical systems (CPS)…”

Section: Use a Process Based On Nestedmentioning

confidence: 99%

Critical Infrastructure Cybersecurity Challenges: IoT in Perspective

Matey¹,

Danquah²,

Koi-Akrofi³

et al. 2021

IJNSA

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A technology platform that is gradually bridging the gap between object visibility and remote accessibility is the Internet of Things (IoT). Rapid deployment of this application can significantly transform the health, housing, and power (distribution and generation) sectors, etc. It has considerably changed the power sector regarding operations, services optimization, power distribution, asset management and aided in engaging customers to reduce energy consumption. Despite its societal opportunities and the benefits it presents, the power generation sector is bedeviled with many security challenges on the critical infrastructure. This review discusses the security challenges posed by IoT in power generation and critical infrastructure. To achieve this, the authors present the various IoT applications, particularly on the grid infrastructure, from an empirical literature perspective. The authors concluded by discussing how the various entities in the sector can overcome these security challenges to ensure an exemplary future IoT implementation on the power critical infrastructure value chain.

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Observer-based detection and reconstruction of dynamic load altering attack in smart grid

Cited by 38 publications

References 19 publications

Co-Design Secure Control Based on Image Attack Detection and Data Compensation for Networked Visual Control Systems

Co-Design Secure Control Based on Image Attack Detection and Data Compensation for Networked Visual Control Systems

Guaranteed-performance resilient consensus for multi-agent systems subject to actuator attacks

Critical Infrastructure Cybersecurity Challenges: IoT in Perspective

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