Results 151 to 160 of about 66,369 (329)

Adaptive residual observer-based detection and isolation framework against false data injection attack in large-scale power systems. [PDF]

Sci Rep
Yu X, Gao C, Du Y, Gao B, Tian D, Hou T.
europepmc   +1 more source

Wide-Area Damping Control Enhanced by Non-Invasive Data Verification Against False Data Injection Attacks

Zhenglong Sun, Long Hao, Zewei Li, Bo Gao, Xiaoqiang Wei, Juri Belikov   +5 more
openalex   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

False data injection attack dataset for classification, identification, and detection for IIoT in Industry 5.0. [PDF]

Data Brief
Habib AKMA, Hasan MK, Hassan R, Islam S, Abbas HS.   +4 more
europepmc   +1 more source

False Data Injection Attack Detection Methods for Battery Stacks with Input Noise

Victoria Obrien, Vittal S. Rao, Rodrigo D. Trevizan   +2 more
openalex   +2 more sources

Detection and Localization of False Data Injection Attacks in Smart Grids Applying an Interpretable Fuzzy Genetic Machine Learning/Data Mining Approach [PDF]

Marian B. Gorzałczany, Filip Rudziński
openalex   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Intelligent cybersecurity management in industrial IoT system using attribute reduction with collaborative deep learning enabled false data injection attack detection approach. [PDF]

Sci Rep
Alrashdi I, Duraibi S.
europepmc   +1 more source

Information Theory and Gray Level Transformation Techniques in Detecting False Data Injection Attacks on Power System State Estimation [PDF]

Ali Parizad, Constantine J. Hatziadoniu
openalex   +1 more source

Inconsistent Transcriptomic Responses to Hexabromocyclododecane in Japanese Quail: A Comparative Analysis of Results From Four Different Study Designs

Environmental Toxicology and Chemistry, EarlyView.
Abstract Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been ...
Paul Béziers, Elena Legrand, Emily Boulanger, Niladri Basu, Jessica D. Ewald, Paula Henry, Markus Hecker, Jianguo Xia, Natalie Karouna‐Renier, Doug Crump, Jessica Head   +10 more
wiley   +1 more source