Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 28 March 2023 / Approved: 29 March 2023 / Online: 29 March 2023 (02:48:39 CEST)

A peer-reviewed article of this Preprint also exists.

Suprabhath Koduru, S.; Machina, V.S.P.; Madichetty, S. Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review. Energies 2023, 16, 4573. Suprabhath Koduru, S.; Machina, V.S.P.; Madichetty, S. Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review. Energies 2023, 16, 4573.

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

Cyber physical systems 1; Cyber attacks 2; Artificial Intelligence 3; Machine learning 4; 8 Deep learning 5

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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