A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems

A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems

The emergence of cyber-physical smart grid (CPSG) systems has revolutionized the traditional power grid by enabling the bidirectional energy flow between consumers and utilities. However, due to escalated information exchange between the end-users, it has posed a greater challenge to the cyber secur...

Full description

Bibliographic Details
Main Authors: Devinder Kaur, Adnan Anwar, Innocent Kamwa, Shama Islam, S. M. Muyeen, Nasser Hosseinzadeh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bayesian inference
cybersecurity
deep learning
intrusion-detection systems
SCADA
smart grid
Online Access:https://ieeexplore.ieee.org/document/10050022/

Similar Items

Similar Items