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

<p dir="ltr">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...

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Bibliographic Details
Main Author:	Devinder Kaur (264278) (author)
Other Authors:	Adnan Anwar (9644240) (author), Innocent Kamwa (12757145) (author), Shama Islam (15801500) (author), S. M. Muyeen (14778337) (author), Nasser Hosseinzadeh (15803285) (author)
Published:	2023
Subjects:	Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Feature extraction Convolutional neural networks Bayes methods Uncertainty Probabilistic logic Neural networks Classification algorithms Deep learning Intrusion detection Smart grids SCADA systems
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A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems

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