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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Devinder Kaur (264278) (author)
مؤلفون آخرون:	Adnan Anwar (9644240) (author), Innocent Kamwa (12757145) (author), Shama Islam (15801500) (author), S. M. Muyeen (14778337) (author), Nasser Hosseinzadeh (15803285) (author)
منشور في:	2023
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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