A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid
Author:
Affiliation:
1. MPSTME, NMIMS University,Dept. of Information Technology,Mumbai,Maharashtra,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10059461/10060864/10060871.pdf?arnumber=10060871
Reference36 articles.
1. A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids
2. Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids
3. Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach
4. Dynamic Graph-Based Anomaly Detection in the Electrical Grid
5. Anomaly Detection for Smart Lighting Infrastructure with the Use of Time Series Analysis
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