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 …
Sok: The challenges, pitfalls, and perils of using hardware performance counters for security
Hardware Performance Counters (HPCs) have been available in processors for more than a
decade. These counters can be used to monitor and measure events that occur at the CPU …
decade. These counters can be used to monitor and measure events that occur at the CPU …
[HTML][HTML] A survey on security analysis of machine learning-oriented hardware and software intellectual property
Intellectual Property (IP) includes ideas, innovations, methodologies, works of authorship
(viz., literary and artistic works), emblems, brands, images, etc. This property is intangible …
(viz., literary and artistic works), emblems, brands, images, etc. This property is intangible …
Hardware performance counters can detect malware: Myth or fact?
The ever-increasing prevalence of malware has led to the explorations of various detection
mechanisms. Several recent works propose to use Hardware Performance Counters (HPCs) …
mechanisms. Several recent works propose to use Hardware Performance Counters (HPCs) …
Backdooring convolutional neural networks via targeted weight perturbations
J Dumford, W Scheirer - 2020 IEEE International Joint …, 2020 - ieeexplore.ieee.org
We present a new white-box backdoor attack that exploits a vulnerability of convolutional
neural networks (CNNs). In particular, we examine the application of facial recognition …
neural networks (CNNs). In particular, we examine the application of facial recognition …
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) …
Lightweight node-level malware detection and network-level malware confinement in iot networks
SMP Dinakarrao, H Sayadi, HM Makrani… - … , Automation & Test …, 2019 - ieeexplore.ieee.org
The sheer size of IoT networks being deployed today presents an" attack surface" and poses
significant security risks at a scale never before encountered. In other words, a single …
significant security risks at a scale never before encountered. In other words, a single …
MDCHD: A novel malware detection method in cloud using hardware trace and deep learning
With the development of cloud computing, more and more enterprises and institutes have
deployed important computing tasks and data into virtualization environments. Virtualization …
deployed important computing tasks and data into virtualization environments. Virtualization …
Anomaly detection in real-time multi-threaded processes using hardware performance counters
P Krishnamurthy, R Karri… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We propose a novel methodology for real-time monitoring of software running on embedded
processors in cyber-physical systems (CPS). The approach uses real-time monitoring of …
processors in cyber-physical systems (CPS). The approach uses real-time monitoring of …
A theoretical study of hardware performance counters-based malware detection
Malware can range from simple adware to stealthy kernel control-flow modifying rootkits.
Although anti-virus software is popular, an ongoing cat-and-mouse cycle of anti-virus …
Although anti-virus software is popular, an ongoing cat-and-mouse cycle of anti-virus …