Results 11 to 20 of about 24,736,965 (159)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method [PDF]

IEEE Access
With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disrupt the system’s stability like frequency stability, thereby leading
Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly   +4 more
doaj   +8 more sources

False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure [PDF]

Complex Adaptive Systems Modeling, 2020
AbstractThe concept of false data injection attack (FDIA) was introduced originally in the smart grid domain. While the term sounds common, it specifically means the case when an attacker compromises sensor readings in such tricky way that undetected errors are introduced into calculations of state variables and values.
Mohiuddin Ahmed, Al-Sakib Khan Pathan
openaire   +3 more sources

The Detection of False Data Injection Attack for Cyber–Physical Power Systems Considering a Multi-Attack Mode

Applied Sciences, 2023
Amidst the evolving communication technology landscape, conventional distribution networks have gradually metamorphosed into cyber–physical power systems (CPPSs). Within this transformative milieu, the cyber infrastructure not only bolsters grid security
Buxiang Zhou, Xuan Li, Tianlei Zang, Yating Cai, Jiale Wu, Shijun Wang   +5 more
doaj   +2 more sources

Simulation of False Data Injection Attack & Threshold-Based Detection for FDIA [PDF]

, 2023
The research projects cover’s the understanding and implementation of simulation of False Data Injection Attack and Threshold-Based Detection to detect False Data Injection using MATLAB code. The need for this project is to achieve end goal of contributing to the world of cybersecurity and achieve safety in V2V communication, if not addressed in time ...
Mane, Sudhanshu Sunil
core   +5 more sources

Detection method of false data injection attack based on unsupervised and supervised learning

电力工程技术
False data injection attack (FDIA) is a serious threat to the security and stable operation of smart grids. In this paper, a FDIA detection algorithm that combines unsupervised and supervised learning is proposed, solving the problems of scarce labeled ...
HUANG Dongmei, WANG Yifan, HU Anduo, ZHOU You, SHI Shuai, HU Wei   +5 more
doaj   +2 more sources

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

Scientific Reports
The rapid adoption of the Industrial Internet of Things (IIoT) model has exposed methods to inadequate security measures. False data injection attacks (FDIAs) pose a significant security threat in IIoT, as they aim to mislead industrial platforms by ...
Ibrahim Alrashdi, Salahaldeen Duraibi
doaj   +2 more sources

Modified Red Fox Optimizer With Deep Learning Enabled False Data Injection Attack Detection

IEEE Access, 2023
Recently, power systems are drastically developed and shifted towards cyber-physical power systems (CPPS). The CPPS involve numerous sensor devices which generates enormous quantities of information. The data gathered from each sensing component needs to
Hayam Alamro, Khalid Mahmood, Sumayh S. Aljameel, Ayman Yafoz, Raed Alsini, Abdullah Mohamed   +5 more
doaj   +2 more sources

Detection of False Data Injection Attack in Smart Grid Based on Extended Kalman and Smooth Variable Structure Filter

IEEE Access
False Data Injection Attack (FDIA) is a prevalent cyber threat in modern smart grids, capable of altering measurement data and circumventing Bad Data Detection (BDD) mechanisms, which results in inaccurate state estimations.
Wenlong Jiang, Wengen Gao, Wenjing Wang, Yunfei Li, Yaru Li, Guoqing Zhang   +5 more
doaj   +2 more sources

Defense Strategy against False Data Injection Attacks in Ship DC Microgrids

Journal of Marine Science and Engineering, 2022
False Data Injection Attacks (FDIA) on ship Direct Current (DC) microgrids may result in the priority trip of a large load, a black-out, and serious accidents of ship collisions when maneuvering in the port.
Hong Zeng, Yuanhao Zhao, Tianjian Wang, Jundong Zhang   +3 more
doaj   +3 more sources

False Data Injection Attack Detection based on Hilbert-Huang Transform in AC Smart Islands [PDF]

IEEE Access, 2020
In Smart Island (SI) systems, operators of power distribution system usually utilize actual-time measurement information as the Advanced Metering Infrastructure (AMI) to have an accurate, efficient, advanced control and monitor of whole their system.
Moslem Dehghani, Mohammad Ghiasi, Taher Niknam, Abdollah Kavousi-Fard, Sanjeevikumar Padmanaban   +4 more
doaj   +2 more sources