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Detection and Estimation of false data injection attacks for Load Frequency Control Systems

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 861-870页

作者： Jun Ye Xiang Yu Hangzhou Innovation Institute Beihang UniversityHangzhouChina School of Automation Science and Electrical Engineering Beihang UniversityBeijingChina

false data injection attacks(FDIAs)against the load frequency control(LFC)system can lead to unstable operation of power systems.In this paper,the problems of detecting and estimating the FDIAs for the LFC system in the presence of external disturbances are investigated.First,the LFC system model with FDIAs against frequency and tie-line power measurements is established.Then,a design procedure for the unknown input observer(UIO)is presented and the residual signal is generated to detect the FDIAs.The UIO is designed to decouple the effect of the unknown external disturbance on the residual signal.After that,an attack estimation method based on a robust adaptive observer(RAO)is proposed to estimate the state and the FDIAs simultaneously.In order to improve the performance of attack estimation,the H¥technique is employed to minimize the effect of external disturbance on estimation errors,and the uniform boundedness of the state and attack estimation errors is proven using Lyapunov stability theory.Finally,a two-area interconnected power system is simulated to demonstrate the effectiveness of the proposed attack detection and estimation algorithms.

关键词： External disturbance false data injection attacks load frequency control robust adaptive observer unknown input observer

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Passivity-Based Robust Control Against Quantified false data injection attacks in Cyber-Physical Systems

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IEEE/CAA Journal of Automatica Sinica 2021年第8期8卷 1440-1450页

作者： Yue Zhao Ze Chen Chunjie Zhou Yu-Chu Tian Yuanqing Qin Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Computer Science Queensland University of TechnologyBrisbane QLD 4001Australia

Secure control against cyber attacks becomes increasingly significant in cyber-physical systems(CPSs).false data injection attacks are a class of cyber attacks that aim to compromise CPS functions by injecting false data such as sensor measurements and control signals.For quantified false data injection attacks,this paper establishes an effective defense framework from the energy conversion perspective.Then,we design an energy controller to dynamically adjust the system energy changes caused by unknown attacks.The designed energy controller stabilizes the attacked CPSs and ensures the dynamic performance of the system by adjusting the amount of damping injection.Moreover,with the disturbance attenuation technique,the burden of control system design is simplified because there is no need to design an attack observer.In addition,this secure control method is simple to implement because it avoids complicated mathematical operations.The effectiveness of our control method is demonstrated through an industrial CPS that controls a permanent magnet synchronous motor.

关键词： Cyber-physical systems energy controller energy conversion false data injection attacks L2 disturbance attenuation technology

维普期刊数据库

Impact analysis of false data injection attacks on power system static security assessment

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Journal of Modern Power Systems and Clean Energy 2016年第3期4卷 496-505页

作者： Jiongcong CHEN Gaoqi LIANG Zexiang CAI Chunchao HU Yan XU Fengji LUO Junhua ZHAO School of Electric Power South China University of TechnologyGuangzhouChina Electric Power Research Institute of Guangdong Power Grid GuangzhouChina Centre for Intelligent Electricity Networks University of NewcastleNewcastleAustralia School of Electrical and Information Engineering University of SydneySydneyAustralia School of Civil Engineering University of SydneySydneyAustralia School of Science&Engineering Chinese University of Hong Kong(Shenzhen)GuangdongChina

Static security assessment(SSA) is an important procedure to ensure the static security of the power system.Researches recently show that cyber-attacks might be a critical hazard to the secure and economic operations of the power system. In this paper, the influences of false data injection attack(FDIA) on the power system SSA are studied. FDIA is a major kind of cyber-attacks that can inject malicious data into meters, cause false state estimation results, and evade being detected by bad data detection. It is firstly shown that the SSA results could be manipulated by launching a successful FDIA, which can lead to incorrect or unnecessary corrective actions. Then,two kinds of targeted scenarios are proposed, i.e., fake secure signal attack and fake insecure signal attack. The former attack will deceive the system operator to believe that the system operates in a secure condition when it is actually not. The latter attack will deceive the system operator to make corrective actions, such as generator rescheduling, load shedding, etc. when it is unnecessary and costly. The implementation of the proposed analysis is validated with the IEEE-39 benchmark system.

关键词： Cyber physical power system Static security assessment false data injection attacks State estimation

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false data injection attacks against State Estimation in AC-DC Hybrid Power System

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False Data Injection Attacks against State Estimation in AC-...

第三十九届中国控制会议

作者： Rui Lin Xinteng Yan Feng Li Xuan Zhang Xiaoshu Yuan Zi Sang Yunyun Xie CSG EHV Power Transmission Company Nanjing University of Science and Technology Dongfang Electric Co.LTD

The extensive application of information and communication technology enhances the observability and controllability of modern power systems.However,it increases their vulnerabilities to malicious cyber-attacks.false data injection attacks(FDIAs) are a class of common cyber-attacks,which compromise the grid meters and mislead the state estimation process.attacks in AC system are widely researched,if an FDIA satisfies certain conditions,the attacker can manipulate these modified measurements to bypass the commonly used residue-based bad data detection(BDD) algorithms,and introduce arbitrary errors into the state estimator.However,with the increasing proportion of High Voltage Direct Current(HVDC) in power system,these studies are not applicable to AC-DC hybrid system.In this paper,we propose the possibility of constructing an FDIA in an AC-DC hybrid power system.Firstly,this paper analyzes the basic principle of a successful FDIA in an AC system.Secondly,the paper proposes an attack strategy in an AC-DC hybrid power system and constructs the attack model.Finally,we demonstrate the attack model on a modified IEEE 30-bus system.

关键词： Cyber security false data injection attacks state estimation AC-DC hybrid power system

Approximation Secure Control of Cyber-physical Systems under false data injection attacks

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Approximation Secure Control of Cyber-physical Systems under...

第32届中国过程控制会议(CPCC2021)

作者： Xuxi Yang Qiang Gao Yuehui Ji Enzeng Dong School of Electrical and Electronic Engineering and Tianjin Key Laboratory for Control Theory & Applications in Complicated SystemsTianjin University of Technology

For the strict-feedback cyber-physical systems(CPSs),an approximation secure control is formulated based on backstepping,sliding mode disturbance observer and fuzzy logic system,to resist the stealthy false data injection attacks through sensor networks.The system state cannot be measured exactly as the sensors are attacked by hackers.The initial system dynamic subjected to false data injection attacks is modelled as uncertainty dynamics and unknown control direction.At first n-1 step in the recursive control,sliding mode disturbance observer are designed to estimate the lumped uncertainties.At the last step,two fuzzy logic system are introduced to approximate the lumped uncertainty and unknown control direction.The closed-loop stability analysis is discussed and proved Lyapunov theory.The numerical simulation can validate the effectiveness of the proposed control scheme.

关键词： Secure Control Cyber-physical Systems false data injection attacks Sliding Mode Disturbance Observer

data-Driven false data injection attacks on State Estimation in Smart Grid

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Data-Driven False Data Injection Attacks on State Estimation...

第37届中国控制会议

作者： Qinxue Li Delong Cui Mei Liu College of Computer and Electronic Information Guangdong University of Petrochemical Technology

In this paper, we focus on false data injection attacks（FDIAs） on state estimation in smart grid. Without topology information and parameters of smart grid, two kinds of data-Driven FDIAs（DDFDIAs） are constructed with noisy measurements, which can keep stealth in the residue-based bad data detection（BBD） of state estimator. Furthermore, the proposed DDAs are more lower cost and sparser due to the limited energy of the attackers. Finally, the simulation experiments are achieved on 30-bus power system. Results show that the constructed DDFDIAs are feasible and undetected by BBD.

关键词： State estimation false data injection attacks data-Driven smart grid limited energy

State Estimation for Discrete Neural Networks with false data injection attacks under Weighted Try-Once-Discard Protocol

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State Estimation for Discrete Neural Networks with False Dat...

第三十九届中国控制会议

作者： Dianhong Hou Dongyan Chen Ning Yang School of Science Harbin University of Science and Technology Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and Technology

This paper investigates the state estimation problem for a class of discrete neural networks with time-varying delays and false data injection attacks under weighted try-once-discard（WTOD） protocol. The false data injection attacks are modelled by using the Bernoulli distributed random variable. The measurements are transmitted according to the WTOD protocol in order to reduce unnecessary data transmission and alleviate the bandwidth pressure. A state estimator is designed based on the obtained measurement. By utilizing Lyapunov stability theory, sufficient conditions are given to ensure the exponentially ultimate boundedness in the mean square of error dynamics system. Then, by combining with the linear matrix inequalities（LMIs） technology, the design method of estimator parameter is given. Finally, a numerical example is provided to testify the validity of the proposed state estimation approach.

关键词： Discrete delayed neural networks state estimation false data injection attacks WTOD protocol exponentially ultimate boundedness in the mean square

Design and Detection of false data injection attacks Against Output Tracking Control Systems

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Design and Detection of False Data Injection Attacks Against...

第36届中国控制会议

作者： Zhonghua Pang Ruhang Yang Guoping Liu Ji Zhang Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of Technology

ISBN: (纸本)9781538629185

This paper studies the design and detection issues of false data injection（FDI） attacks against output tracking control systems from the perspectives of defenders and attackers,respectively.Based on a state-space model,an output tracking control system is designed by using a Kalman filter and an augmented state linear quadratic Gauss optimal control feedback control strategy.For such a control system,the attackers design stealthy FDI attacks for the feedback and forward channels based on the subspace identification technology,which can avoid the detection of an output residual detector.To cope with the two-channel FDI attacks,a simple detection scheme is proposed by actively modifying the data in the feedback and forward channels.Finally,the effectiveness of the proposed methods is demonstrated by simulation results.

关键词： Output tracking control systems false data injection attacks subspace identification Kalman filter

Security Analysis of Cyber-Physical System under false data injection attacks

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Security Analysis of Cyber-Physical System under False Data ...

第40届中国控制会议

作者： Ruirui Liu Hao Yu Fei Hao Seventh Research Division School of Automation Science and Electrical EngineeringBeihang University The Department of Electrical and Computer Engineering University of Alberta

In this paper,the security analysis of the cyber-physical system which is modeled as linear dynamical system is investigated.The attackers can maliciously inject some false data into measurement and actuation channels;and the false data injection attacks are stealthy(complete stealthy) if the attack actions can bypass a χ detector(completely remove its impacts on monitored normal innovation).Correspondingly,a cyber-physical system is insecure if it can be destabilized by a stealthy or complete stealthy attack.When the attackers are able to compromise all measurement and part of(all) actuation channels,a necessary and sufficient condition for the attack effectiveness is established.In addition,a sufficient condition for the security of the system is derived when part of measurement and all(part of) actuation channels are under attacks.Finally,some simulations are provided to illustrate the effectiveness of the obtained results.

关键词： Security analysis cyber-physical system false data injection attacks