Results 21 to 30 of about 24,736,965 (159)

Detection of False Data Injection Attacks (FDIA) Targeting Distribution Transformers in Smart Grids Using Hybrid Artificial Intelligence Methods

open access: yesJournal of Information Assurance and Security
Abstract Communication technologies in modern power systems have rendered energy grids vulnerable to False Data Injection Attacks (FDIA). This study evaluates FDIA detection on the IEEE 118-bus test system using pandapower. A synthetic dataset of 2000 samples was partitioned into 75%/25% training/test splits.
Recep AKKAN, Osman Can ÇETLENBİK
openaire   +2 more sources

Research on False Data Injection Attack Identification based on CNN-CBAM

open access: yesGuangtongxin yanjiu
【Objective】It is always difficult to timely locate the location of the network attack and achieve rapid deployment of defense strategies when the smart grid is attacked by the network.【Methods】In order to solve this problem, this article proposes a ...
ZHOU Xianjun, WANG Ru, LIU Hang, JIN Bo
doaj   +2 more sources

False Data Injection Attack Detection Method Based on Deep Learning With Multi-Scale Feature Fusion

open access: yesIEEE Access
Cyber-attacks, especially the false data injection attack (FDIA), are gradually becoming a common way to threaten the regular operation of power grid. However, the FDIA is challenging to detect because it prevents the bad data detection mechanism in the ...
Jinpeng Ji   +5 more
doaj   +2 more sources

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter [PDF]

open access: yes, 2022
The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter.
Prakyath Dayananda   +9 more
core   +1 more source

False Data Injection Attack Detection in Power Systems Based on Cyber-Physical Attack Genes

open access: yesFrontiers in Energy Research, 2021
In the process of the detection of a false data injection attack (FDIA) in power systems, there are problems of complex data features and low detection accuracy.
Zhaoyang Qu   +10 more
doaj   +1 more source

False Data Injection Attack on Atmospheric Electric Field in Thunderstorm Warning [PDF]

open access: yes, 2022
Thunderstorm warning plays an important role in lightning prevention and disaster mitigation. In practical applications, thunderstorm warning system is also vulnerable to attacks, such as False Data Injection Attack (FDIA).
Chen, Yi   +7 more
core   +1 more source

Rule-Based Detection of False Data Injections Attacks against Optimal Power Flow in Power Systems

open access: yesSensors, 2021
Cyber-security of modern power systems has captured a significant interest. The vulnerabilities in the cyber infrastructure of the power systems provide an avenue for adversaries to launch cyber attacks.
Sani Umar, Muhamad Felemban
doaj   +1 more source

Forensic analysis on false data injection attack on IoT environment [PDF]

open access: yes, 2021
False Data Injection Attack (FDIA) is an attack that could compromise Advanced Metering Infrastructure (AMI) devices where an attacker may mislead real power consumption by falsifying meter usage from end-users smart meters.
Abdul Rahim, Fiza   +5 more
core   +1 more source

Securing SCADA systems from false data injection attacks

open access: yes, 2023
Bohacek, Stephan K.The Supervisory Control and Data Acquisition (SCADA) system controls and monitors industrial operations, such as electricity, gas, railway, traffic, water, and waste.
Almousa, Norah
core   +1 more source

A deep learning‐based classification scheme for cyber‐attack detection in power system

open access: yesIET Energy Systems Integration, 2021
A smart grid improves power grid efficiency by using modern information and communication technologies. However, at the same time, the system might become increasingly vulnerable to cyberattacks.
Yucheng Ding   +5 more
doaj   +1 more source

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