Results 91 to 100 of about 249,048 (284)

Detection and mitigation of false data injection attack in DC–DC synchronous boost converter: A real‐time implementation using shallow neural network model

IET Power Electronics, EarlyView., 2023
This article proposes a neural network‐based cyber attack detection and mitigation scheme to detect and mitigate false data injection attacks on the sensors. Neural networks are used for the prediction of duty; a combination of a data sampler and a binary attack detector detects the presence of an attack.
Venkata Siva Prasad Machina, Sreedhar Madichetty, Sriranga Suprabhath Koduru, Mohan Krishna Banda, Sukumar Mishra   +4 more
wiley   +1 more source

The Relationship Between Premorbid Weight Status and Eating Disorder Onset in Adolescents: A Longitudinal Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Adolescents with higher weight status (HWS; body mass index > 85th percentile adjusted for age and sex) are at greater risk of eating disorders (ED). This study examined factors associated with HWS adolescents' increased risk and how weight status interacts with other risk factors to influence ED onset. Method Australian adolescents (
Gabriela Tavella, Kris Rogers, Kay Bussey, Phillipa Hay, Nora Trompeter, Deborah Mitchison   +5 more
wiley   +1 more source

EU Policy‐Making in the Digital Age: Major Trends and Insights From Public Policy Research

European Policy Analysis, EarlyView.
ABSTRACT Has digitalization changed policy‐making dynamics at the European Union (EU) level? To investigate this issue, this article presents a scoping review of the literature on EU digital policy‐making. While much scholarship adopts a ‘Governance’ approach, two conceptually rich strands emerge: critical approaches, and digital sovereignty.
Chloé Bérut
wiley   +1 more source

Cyber-Physical System for Energy Management

, 2021
Se-Range Oh, Young-Chul Bae
openalex   +2 more sources

Data‐Driven Dual‐Channel Dynamic Event‐Triggered Load Frequency Control for Multiarea Power Systems Under DoS Attacks

Energy Science &Engineering, EarlyView.
ABSTRACT System dynamics uncertainties and cyberattacks pose significant challenges to load frequency control in power systems. This paper presents a data‐driven load frequency control strategy for interconnected multi‐area power systems subject to denial‐of‐service attacks that disrupt both feedforward and feedback communication channels.
Yuhao Chen, Huarong Zhao, Masaki Ogura, Yi Gao, Li Peng   +4 more
wiley   +1 more source

Adversarial Regression for Detecting Attacks in Cyber-Physical Systems [PDF]

, 2018
Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon Koutsoukos   +2 more
openalex   +1 more source

The Role of Digital Twin Technology in Enhancing Energy Efficiency in Buildings: A Systematic Literature Review

Energy Science &Engineering, EarlyView.
Digital Twin (DT) technology enhances building energy efficiency by enabling continuous monitoring, predictive maintenance, and operational optimization within Building Energy Management Systems. Through real‐time data integration and simulation, DTs provide dynamic feedback loops that optimize performance, reduce operational costs, and improve ...
Suqi Wang, Congxiang Tian, Chao Zhou, Yihan Wu, Divine Senanu Ametefe, Dah John, Marvellous Agbeko Ametefe   +6 more
wiley   +1 more source

An Explainable Intelligent Framework for Anomaly Mitigation in Cyber-Physical Inverter-based Systems [PDF]

, 2022
Asad Ali Khan, Omar Ali Beg, Yufang Jin, Sara Ahmed   +3 more
openalex   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics

Microsystems & Nanoengineering
Ionic fluidic devices are gaining interest due to their role in enabling self-powered neuromorphic computing systems. In this study, we present an approach that integrates an iontronic fluidic memristive (IFM) device with low input impedance and a ...
Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad   +4 more
doaj   +1 more source