Double-Edged Defense: Thwarting Cyber Attacks and Adversarial Machine Learning in IEC 60870-5-104 Smart Grids
Author:
Affiliation:
1. Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khlifa University, Doha, Qatar
Funder
NPRP Cluster Project (NPRP-C) Twelve (12th) Cycle
Qatar National Research Fund
Qatar Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782706/10007667/10328057.pdf?arnumber=10328057
Reference30 articles.
1. Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues
2. Smart Grid Security and Privacy: From Conventional to Machine Learning Issues (Threats and Countermeasures)
3. OpenPLC and lib61850 Smart Grid Testbed: Performance Evaluation and Analysis of GOOSE Communication
4. Mitigating IEC-60870-5-104 Vulnerabilities: Anomaly Detection in Smart Grid based on LSTM Autoencoder
5. Federated graph learningA position paper;Zhang,2021
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