HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection

M Botacin, MZ Alves, D Oliveira, A Grégio - Expert Systems with …, 2022 - Elsevier
Antiviruses (AVs) are computing-intensive applications that rely on constant monitoring of
OS events and on applying pattern matching procedures on binaries to detect malware. In …

Right-provisioned IoT edge computing: An overview

T Adegbija, R Lysecky, VV Kumar - Proceedings of the 2019 on Great …, 2019 - dl.acm.org
Edge computing on the Internet of Things (IoT) is an increasingly popular paradigm in which
computation is moved closer to the data source (ie, edge devices). Edge computing …

Towards requirements for self-healing as a means of mitigating cyber-intrusions in medical devices

AS Carreon-Rascon… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In recent years,“security by design” has become a fundamental requirement for new
technologies, especially for those that interconnect various systems and their components …

FIRE: A Finely Integrated Risk Evaluation Methodology for Life-Critical Embedded Systems

A Rao, NA Carreón, R Lysecky, J Rozenblit - Information, 2022 - mdpi.com
Life-critical embedded systems, including medical devices, are becoming increasingly
interconnected and interoperable, providing great efficiency to the healthcare ecosystem …

Window-based statistical analysis of timing subcomponents for efficient detection of malware in life-critical systems

N Carreon, A Gilbreath… - 2019 Spring Simulation …, 2019 - ieeexplore.ieee.org
Securing life-critical embedded systems, particularly medical devices, requires both
proactive security measures that prevent intrusions and reactive measures that detect …

A software framework for security risk assessment and management in life-critical embedded systems

A Rao - 2021 - search.proquest.com
With the advent of network connectivity and complex software, life-critical embedded
systems like medical devices are strongly influencing advances in healthcare. Such devices …

Runtime Malware Detection using hardware features

S Sanjith, E Sivaraman… - 2019 10th International …, 2019 - ieeexplore.ieee.org
The low-level microarchitectural malware prediction methods have shown good results in
finding the viruses than the earlier software-based techniques. But these methods have …