Detection of Malicious Threats Exploiting Clock-Gating Hardware Using Machine Learning

Detection of Malicious Threats Exploiting Clock-Gating Hardware Using Machine Learning

Embedded system technologies are increasingly being incorporated into manufacturing, smart grid, industrial control systems, and transportation systems. However, the vast majority of today’s embedded platforms lack the support of built-in security features which makes such systems highly vulnerable...

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Bibliographic Details
Main Authors: Nuri Alperen Kose, Razaq Jinad, Amar Rasheed, Narasimha Shashidhar, Mohamed Baza, Hani Alshahrani
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
malware
embedded systems
machine learning
intrusion detection
ARM cortex
Online Access:https://www.mdpi.com/1424-8220/24/3/983

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https://www.mdpi.com/1424-8220/24/3/983

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