Data Integrity Attack Detection Using Ensemble-Based Learning for Cyber–Physical Power Systems
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10049220/09858102.pdf?arnumber=9858102
Reference31 articles.
1. Unsupervised Machine Learning-Based Detection of Covert Data Integrity Assault in Smart Grid Networks Utilizing Isolation Forest
2. A Novel False Data Injection Attack Detection Model of the Cyber-Physical Power System
3. Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks
4. Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
5. Performance evaluation of IEC 61850 GOOSE‐based inter‐substation communication for accelerated distance protection scheme
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