Analyzing the efficiency of machine learning classifiers in hardware-based malware detectors

AP Kuruvila, S Kundu, K Basu - 2020 IEEE Computer Society …, 2020 - ieeexplore.ieee.org
The emergence of promising Internet-of-things (IoT) empowered Consumer Electronic
devices resulted in their exhaustive proliferation across several safety-critical architectures …

When machine learning meets hardware cybersecurity: Delving into accurate zero-day malware detection

Z He, T Miari, HM Makrani, M Aliasgari… - … on Quality Electronic …, 2021 - ieeexplore.ieee.org
Cybersecurity for the past decades has been in the front line of global attention as a critical
threat to the information technology infrastructures. According to recent security reports …

2smart: A two-stage machine learning-based approach for run-time specialized hardware-assisted malware detection

H Sayadi, HM Makrani, SMP Dinakarrao… - … , Automation & Test …, 2019 - ieeexplore.ieee.org
Hardware-assisted Malware Detection (HMD) has emerged as a promising solution to
improve the security of computer systems using Hardware Performance Counters (HPCs) …

Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning

H Sayadi, A Houmansadr, S Rafatirad… - Proceedings of the 15th …, 2018 - dl.acm.org
Recent studies have demonstrated the effectiveness of Hardware Performance Counters
(HPCs) for detecting pattern of malicious applications. Hardware-supported detectors utilize …

Analyzing hardware based malware detectors

N Patel, A Sasan, H Homayoun - Proceedings of the 54th Annual Design …, 2017 - dl.acm.org
Detection of malicious software at the hardware level is emerging as an effective solution to
increasing security threats. Hardware based detectors rely on Machine Learning (ML) …

Adaptive-hmd: Accurate and cost-efficient machine learning-driven malware detection using microarchitectural events

Y Gao, HM Makrani, M Aliasgari… - 2021 IEEE 27th …, 2021 - ieeexplore.ieee.org
To address the high complexity and computational overheads of conventional software-
based detection techniques, Hardware Malware Detection (HMD) has shown promising …

EnsembleHMD: Accurate hardware malware detectors with specialized ensemble classifiers

KN Khasawneh, M Ozsoy, C Donovick… - … on Dependable and …, 2018 - ieeexplore.ieee.org
Hardware-based malware detectors (HMDs) are a promising new approach to defend
against malware. HMDs collect low-level architectural features and use them to classify …

A survey on hardware-based malware detection approaches

CP Chenet, A Savino, S Di Carlo - IEEE Access, 2024 - ieeexplore.ieee.org
This paper delves into the dynamic landscape of computer security, where malware poses a
paramount threat. Our focus is a riveting exploration of the recent and promising hardware …

Towards accurate run-time hardware-assisted stealthy malware detection: a lightweight, yet effective time series CNN-based approach

H Sayadi, Y Gao, H Mohammadi Makrani, J Lin… - Cryptography, 2021 - mdpi.com
According to recent security analysis reports, malicious software (aka malware) is rising at
an alarming rate in numbers, complexity, and harmful purposes to compromise the security …

Ensemble learning for effective run-time hardware-based malware detection: A comprehensive analysis and classification

H Sayadi, N Patel, A Sasan, S Rafatirad… - Proceedings of the 55th …, 2018 - dl.acm.org
Malware detection at the hardware level has emerged recently as a promising solution to
improve the security of computing systems. Hardware-based malware detectors take …