Analyzing the efficiency of machine learning classifiers in hardware-based malware detectors
The emergence of promising Internet-of-things (IoT) empowered Consumer Electronic
devices resulted in their exhaustive proliferation across several safety-critical architectures …
devices resulted in their exhaustive proliferation across several safety-critical architectures …
When machine learning meets hardware cybersecurity: Delving into accurate zero-day malware detection
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 …
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) …
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
Recent studies have demonstrated the effectiveness of Hardware Performance Counters
(HPCs) for detecting pattern of malicious applications. Hardware-supported detectors utilize …
(HPCs) for detecting pattern of malicious applications. Hardware-supported detectors utilize …
Analyzing hardware based malware detectors
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) …
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
To address the high complexity and computational overheads of conventional software-
based detection techniques, Hardware Malware Detection (HMD) has shown promising …
based detection techniques, Hardware Malware Detection (HMD) has shown promising …
EnsembleHMD: Accurate hardware malware detectors with specialized ensemble classifiers
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 …
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 …
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
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 …
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
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 …
improve the security of computing systems. Hardware-based malware detectors take …