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 …
A recent assessment for the ransomware attacks against the internet of medical things (iomt): A review
The magnitude, complexity, and diversity of cyber threats against the Internet of Medical
Things have increased over the past several years, making it challenging to implement …
Things have increased over the past several years, making it challenging to implement …
Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses
Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …
new developments, modern vehicles are getting increasingly astute and offering growing …
Deep neural network and transfer learning for accurate hardware-based zero-day malware detection
In recent years, security researchers have shifted their attentions to the underlying
processors' architecture and proposed Hardware-Based Malware Detection (HMD) …
processors' architecture and proposed Hardware-Based Malware Detection (HMD) …
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 …
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 …
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 …
Cloak & co-locate: Adversarial railroading of resource sharing-based attacks on the cloud
The heterogeneity of resources and the diversity of applications on the cloud motivated the
need for resource provisioning systems (RPSs) to meet the users' performance requirements …
need for resource provisioning systems (RPSs) to meet the users' performance requirements …
Breakthrough to adaptive and cost-aware hardware-assisted zero-day malware detection: A reinforcement learning-based approach
In this paper, we have identified and addressed pressing challenges associated with online
and cost-effective malware detection based on Hardware Performance Counters (HPCs) …
and cost-effective malware detection based on Hardware Performance Counters (HPCs) …
Cyber-immunity at the core: Securing biomedical devices through hardware-level machine learning defense
Healthcare cybersecurity is crucial for protecting hospitals' networks and computing systems
from malicious cyber-attacks. With the increasing motivation and capability of cyber …
from malicious cyber-attacks. With the increasing motivation and capability of cyber …