Autoencoder Based FDI Attack Detection Scheme For Smart Grid Stability
Author:
Affiliation:
1. Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,Amritapuri,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10038981/10039721/10040183.pdf?arnumber=10040183
Reference17 articles.
1. Distributed Data-Driven Intrusion Detection for Sparse Stealthy FDI Attacks in Smart Grids;shi;IEEE Transactions on Circuits and Systems,2021
2. Multi Agent Based Load Management System For Smart Distribution Grid
3. Data-Driven Approach for State Prediction and Detection of False Data Injection Attacks in Smart Grid;reda;Journal of Modern Power Systems and Clean Energy,2022
4. Integration of demand response with prioritized load optimization for multiple homes
5. A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT
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1. Exploring Unique Techniques to Preserve Confidentiality and Authentication;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04
2. A Generalizable Deep Neural Network Method for Detecting Attacks in Industrial Cyber-Physical Systems;IEEE Systems Journal;2023
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