False data injection against state estimation in power systems with multiple cooperative attackers.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.02.003
Abstract: Given the strong cyber-physical interactions in today's smart grid, false data injection (FDI) attack can readily mislead the state estimation and influence the system operation by manipulating meter measurements. In this paper, a new FDI… read more here.
Keywords: attack; data injection; power systems; false data ... See more keywords
Cooperative control for cyber-physical multi-agent networked control systems with unknown false data-injection and replay cyber-attacks.
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DOI: 10.1016/j.isatra.2020.10.002
Abstract: The paper discusses the cooperative tracking problem of partially known cyber-physical multi-agent networked systems. In this system, there exist two cascaded chances for cyber-attacks. The local agent is of networked system type that is subjected… read more here.
Keywords: false data; control; data injection; cyber attacks ... See more keywords
False Data Injection Attacks With Incomplete Network Topology Information in Smart Grid
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DOI: 10.1109/access.2018.2888582
Abstract: False data injection (FDI) attack causes a disadvantage to the safety of a power system. In the past, the adversary launching FDI attack mostly needed the complete network topology information of the power system and… read more here.
Keywords: data injection; attack; topology; false data ... See more keywords
Detection of False Data Injection Attacks in Smart Grid Utilizing ELM-Based OCON Framework
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DOI: 10.1109/access.2019.2902910
Abstract: False data injection (FDI) attacks, as a new class of cyberattacks, bring a severe threat to the security and reliable operation of the smart grid by damaging the state estimation of the power system. To… read more here.
Keywords: bus; data injection; false data; smart grid ... See more keywords
OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems
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DOI: 10.1109/access.2019.2904959
Abstract: This paper presents a new class of false data injection attacks (FDIAs) on volt/VAR optimization (VVO), which may result in abnormal voltage conditions along the radial medium voltage (MV) distribution feeder with an on-load tap… read more here.
Keywords: optimization; data injection; volt var; attack ... See more keywords
Active Learning-Based XGBoost for Cyber Physical System Against Generic AC False Data Injection Attacks
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DOI: 10.1109/access.2020.3014644
Abstract: With the exponential growth of information and communication technology, the traditional power system is gradually evolving into a cyber physical energy system (CPES) with frequently interactions between physical and cyber components. CPES indeed revolutionize the… read more here.
Keywords: system; cyber physical; data injection; learning based ... See more keywords
Cyber Attack Detection Based on Wavelet Singular Entropy in AC Smart Islands: False Data Injection Attack
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DOI: 10.1109/access.2021.3051300
Abstract: Since Smart-Islands (SIs) with advanced cyber-infrastructure are incredibly vulnerable to cyber-attacks, increasing attention needs to be applied to their cyber-security. False data injection attacks (FDIAs) by manipulating measurements may cause wrong state estimation (SE) solutions… read more here.
Keywords: attack detection; data injection; attack; false data ... See more keywords
Reinforcement Learning-Based Detection for State Estimation Under False Data Injection
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DOI: 10.1109/access.2021.3076538
Abstract: We consider the problem of network security under false data injection attacks over wireless sensor networks.To resist the attacks which can inject false data into communication channels according to a certain probability, we formulate the… read more here.
Keywords: false data; data injection; detection; reinforcement learning ... See more keywords
Leader-Following Consensus of Multiple Euler-Lagrange Systems Under Deception Attacks
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DOI: 10.1109/access.2021.3096079
Abstract: In this paper, the leader-following consensus problem of a multi-Euler-Lagrange system is studied under deception attacks, where attackers can inject the false data into the data being exchanged over the communication network between two Euler-Lagrange… read more here.
Keywords: euler lagrange; consensus; false data; multiple euler ... See more keywords
Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
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DOI: 10.1109/access.2022.3161459
Abstract: Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of the closed-loop system and the… read more here.
Keywords: sis; modified particle; attack; estimation ... See more keywords
False Data Detection in a Clustered Smart Grid Using Unscented Kalman Filter
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DOI: 10.1109/access.2022.3193781
Abstract: The smart grid accessibility over the Internet of Things (IoT) is becoming attractive to electrical grid operators as it brings considerable operational and cost efficiencies. However, this in return creates significant cyber security challenges, such… read more here.
Keywords: false data; state; state estimation; smart grid ... See more keywords