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 …
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 …
基于边缘计算的电网假数据攻击分布式检测方法
黄冬梅， 何立昂， 孙锦中， 胡安铎 - 电力系统保护与控制, 2021 - dlkz.net
虚假数据注入攻击(FDIA) 作为新型的电网攻击手段, 严重威胁智能电网的安全运行.
爆炸式增长的数据给集中式的FDIA 检测方法带来了巨大的挑战. 基于此, 提出了一种基于边缘 …
爆炸式增长的数据给集中式的FDIA 检测方法带来了巨大的挑战. 基于此, 提出了一种基于边缘 …
Semi-supervised False Data Injection Attacks Detection in Smart Grid
Y Zhou, L Yang, Y Cao - … on Applied Cryptography in Computer and …, 2022 - Springer
False data injection attacks (FDIAs) detection in smart grid, requires adequate labeled
training samples to train a detection model. Due to the strong subjectivity, relying on expert …
training samples to train a detection model. Due to the strong subjectivity, relying on expert …
Training A Dynamic Neural Network to Detect False Data Injection Attacks Under Multiple Unforeseen Operating Conditions
As a cyber-physical attack targeting power systems, False Data Injection Attack (FDIA) has
raised widespread concern in recent years. Many FDIA detection approaches in the …
raised widespread concern in recent years. Many FDIA detection approaches in the …
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 …
of the power system being subjected to cyber attack constantly rise. Effective cyber attack …
A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid
A Tirulo, S Chauhan, M Lolamo, T Tagesse - International Conference on …, 2023 - Springer
Smart grids, enhanced by integrating new technologies like home energy management
systems (HEMS) and smart meters, face risks like false data injection attacks (FDIA). These …
systems (HEMS) and smart meters, face risks like false data injection attacks (FDIA). These …
Increasing Detection Rate of False Data Injection Attacks Using Measurement Predictors
D Senarathna, S Tragoudas… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
A novel machine learning-based approach for the detection of False Data Injection Attacks
(FDIAs) is presented. Existing machine learning-based FDIA detection methods exhibit a …
(FDIAs) is presented. Existing machine learning-based FDIA detection methods exhibit a …
A deep learning-based classification scheme for false data injection attack detection in power system
A smart grid improves power grid efficiency by using modern information and
communication technologies. However, at the same time, due to the dependence on …
communication technologies. However, at the same time, due to the dependence on …
XGBoost based fake data injection attack detection method for power grid
F Guo, S Yao, N Zhang, Y He - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Different from distributed denial of service attack, fake data injection attack (FDIA) can
bypass the traditional residual-based bad data detection, and affect the accuracy of state …
bypass the traditional residual-based bad data detection, and affect the accuracy of state …