Evolutionary-Based Deep Stacked Autoencoder for Intrusion Detection in a Cloud-Based Cyber-Physical System

Evolutionary-Based Deep Stacked Autoencoder for Intrusion Detection in a Cloud-Based Cyber-Physical System

As cyberattacks develop in volume and complexity, machine learning (ML) was extremely implemented for managing several cybersecurity attacks and malicious performance. The cyber-physical systems (CPSs) combined the calculation with physical procedures. An embedded computer and network monitor and co...

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Bibliographic Details
Main Authors: Mesfer Al Duhayyim, Khalid A. Alissa, Fatma S. Alrayes, Saud S. Alotaibi, ElSayed M. Tag El Din, Amgad Atta Abdelmageed, Ishfaq Yaseen, Abdelwahed Motwakel
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
Internet of Things
deep learning
cyber physical systems
cloud computing
intrusion detection
security
Online Access:https://www.mdpi.com/2076-3417/12/14/6875

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https://www.mdpi.com/2076-3417/12/14/6875

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