Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

Network integration is common in cyber-physical systems (CPS) to allow for remote access, surveillance, and analysis. They have been exposed to cyberattacks because of their integration with an insecure network. In the event of a violation in internet security, an attacker was able to interfere with...

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Bibliographic Details
Main Author:	Almajed, Rasha (author)
Other Authors:	Ibrahim, Amer (author), Zaid Abualkishik, Abedallah (author), Mourad, Nahia (author), A Almansour, Faris (author)
Published:	2022
Subjects:	Cyber-physical systems (CPS), cyberattacks, Artificial Intelligence (AI), Machine Learning (ML), Linear Discriminant Analysis (LDA), Self-tuned Fuzzy Logic based Hidden Markov Model (SFL-HMM), Heuristic Multi-Swarm Optimization (HMS ACO)
Online Access:	https://bspace.buid.ac.ae/handle/1234/3089 https://doi.org/10.21533/pen.v10i3.3035.
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

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