Protecting Substation Differential Relays Against Cyber Attacks Using Convolutional Autoencoder

Ravi Prakash Mahobia; Baidyanath Bag; Swapnajit Pattnaik; Jagendra Kumar Narang

doi:10.1109/icpc2t63847.2025.10958630

ScienceGate Book Chapters

JOURNAL ARTICLE

Protecting Substation Differential Relays Against Cyber Attacks Using Convolutional Autoencoder

Ravi Prakash Mahobia Baidyanath Bag Swapnajit Pattnaik Jagendra Kumar Narang

Year: 2025 Pages: 971-976

DOI: 10.1109/icpc2t63847.2025.10958630

Get Full-Text PDF Get Analytical Report

Keywords:

Autoencoder Computer science Computer security Convolutional neural network Differential (mechanical device) Artificial intelligence Deep learning Engineering Aerospace engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.12

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Protecting Substation Differential Relays Against Cyber Attacks Using Convolutional Autoencoder

Metrics

Topics

Related Documents

Protecting Against Cyber Attacks

Coordinated Cyber-Physical Attacks Based on Multiple Substation Protection Relays Misoperation

A Learning-Based Framework for Detecting Cyber-Attacks Against Line Current Differential Relays

Vulnerabilities of Line Current Differential Relays to Cyber-Attacks

Machine Learning-Enhanced Security for Distance Relays Against Cyber-Attacks