基于改进多隐层极限学习机的电网虚假数据注入攻击检测

席磊, 何苗, 周博奇, 李彦营 - 自动化学报, 2023 - aas.net.cn
虚假数据注入攻击(False data injection attacks, FDIA) 严重威胁了电力信息物理系统(Cyber-
physical system, CPS) 的状态估计, 而目前大多数检测方法侧重于攻击存在性检测 …

False Data Injection Attack Detection Based on Local Linear Embedding and Extreme Learning Machine

X Dai, X Yi, D Zhou, F Guo, D Liu - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
False Data Injection (FDI) is a new attack method for power system state estimation, which
can effectively bypass system monitoring and defense. Due to the highly complex topology …

基于XGBoost 和无迹卡尔曼滤波自适应混合预测的电网虚假数据注入攻击检测

刘鑫蕊, 常鹏, 孙秋野 - 中国电机工程学报, 2021 - cqvip.com
随着信息技术在电力系统中的广泛应用, 电网正发展为一类信息系统与物理系统高度融合的电力
信息物理系统(cyber-physical system, CPS). 而虚假数据注入攻击(false data injection attacks …

Extreme learning machine-based state reconstruction for automatic attack filtering in cyber physical power system

T Wu, W Xue, H Wang, CY Chung… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Successful detection of false data injection attacks (FDIAs) and removal of state bias due to
FDIAs are essential for ensuring secure power grids operation and control. This article first …

融合无监督和有监督学习的虚假数据注入攻击检测.

黄冬梅, 王一帆, 胡安铎, 周游… - Electric Power …, 2024 - search.ebscohost.com
虚假数据注入攻击(falsedatainjectionattack, FDIA) 是智能电网安全与稳定运行面临的严重威胁.
文中针对FDIA 检测中存在的有标签数据稀少, 正常和攻击样本极不平衡的问题 …

A Meta-Learning Enabled Method for False Data Injection Attack Detection in Smart Grid

Z Chen, H Lin, W Chen, J Chen, H Chen… - 2023 5th Asia …, 2023 - ieeexplore.ieee.org
The deep coupling of the power system network layer and the physical layer makes the risk
of the power system being subjected to cyber attack constantly rise. Effective cyber attack …

Improved-ELM method for detecting false data attack in smart grid

L Yang, Y Li, Z Li - International Journal of Electrical Power & Energy …, 2017 - Elsevier
Power grid is a complex system which closely links the power generation and power
consumer through transmission and distribution networks. With the development of smart …

Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids

D Mukherjee, S Chakraborty, S Ghosh - Electrical Engineering, 2022 - Springer
With the recent advancement in smart grid technology, real-time monitoring of grid is utmost
essential. State estimation-based solutions provide a critical tool in monitoring and control of …

Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach

WT Lin, G Chen, Y Huang - Applied Energy, 2022 - Elsevier
With the growing concern in security and privacy of smart grid, false data injection attack
detection on power grid state estimation now faces new challenges including unknown …

Classification of False Data Injection Attacks in Smart Grid using Multi Label Deep Learning

A Sikri, A Singh - 2023 International Conference on Distributed …, 2023 - ieeexplore.ieee.org
The traditional electricity structure is displaced by a new physical structure brought about by
the smart grid, which is brought about by the creative use of information that leads to the …