Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach

According to recent security analysis reports, malicious software (a.k.a. malware) is rising at an alarming rate in numbers, complexity, and harmful purposes to compromise the security of modern computer systems. Recently, malware detection based on low-level hardware features (e.g., Hardware Perfor...

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Bibliographic Details
Main Authors: Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar Costa, Setareh Rafatirad, Houman Homayoun
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Cryptography
Subjects:
machine learning
hardware-assisted malware detection
cybersecurity
stealthy malware
hardware performance counter
deep learning
Online Access:https://www.mdpi.com/2410-387X/5/4/28

Internet

https://www.mdpi.com/2410-387X/5/4/28

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