Preprint
Review

Cyber-attacks in Cyber Physical Microgrid Systems : A comprehensive Review

Altmetrics

Downloads

201

Views

38

Comments

0

A peer-reviewed article of this preprint also exists.

Submitted:

28 March 2023

Posted:

29 March 2023

You are already at the latest version

Alerts
Abstract
Importance and need for cyber security have increased in folds since a decade. Indirectly, the country’s security depends on the country’s cyber-physical systems. Attackers are becoming more innovative, and attacks are becoming undetectable, causing huge risks to the systems. In this scenario, intelligent and evolving detection methods should be introduced to replace the basic and outworn ones. This article discusses about new-age intelligence and smart techniques dealing with artificial intelligence (AI) models. Artificial intelligence for cyber security is reviewed, and the performance of machine learning models (ML) and deep learning (DL) models are analysed.
Keywords: 
Subject: Computer Science and Mathematics  -   Artificial Intelligence and Machine Learning
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated