A survey on machine learning against hardware trojan attacks: Recent advances and challenges
Z Huang, Q Wang, Y Chen, X Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
The remarkable success of machine learning (ML) in a variety of research domains has
inspired academic and industrial communities to explore its potential to address hardware …
inspired academic and industrial communities to explore its potential to address hardware …
Secure data sharing with blockchain for remote health monitoring applications: a review
Abstract Remote Health Monitoring (RHM) is going to reinvent the future healthcare industry
and bring about abundant value to hospitals, doctors, and patients by overcoming the many …
and bring about abundant value to hospitals, doctors, and patients by overcoming the many …
A survey on security and privacy issues in modern healthcare systems: Attacks and defenses
Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
A survey on hardware vulnerability analysis using machine learning
Electronic systems rely on efficient hardware, popularly known as system-on-chip (SoC), to
support its core functionalities. A typical SoC consists of diverse components gathered from …
support its core functionalities. A typical SoC consists of diverse components gathered from …
A novel framework for threat analysis of machine learning-based smart healthcare systems
Smart healthcare systems (SHSs) are providing fast and efficient disease treatment
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …
A review of security issues and solutions for precision health in Internet-of-Medical-Things systems
Precision medicine provides a holistic perspective of an individual's health, including
genetic, environmental, and lifestyle aspects to realize individualized therapy. The …
genetic, environmental, and lifestyle aspects to realize individualized therapy. The …
Biocad: Bio-inspired optimization for classification and anomaly detection in digital healthcare systems
The modern smart digital healthcare system (SDHS) is leaning towards automation of
patient disease monitoring and treatment with the advent of wireless body sensor networks …
patient disease monitoring and treatment with the advent of wireless body sensor networks …
Trojan resilience in implantable and wearable medical devices with virtual biosensing
Implantable and wearable medical devices (IWMDs) provide a wide range of benefits,
including monitoring various physiological conditions and providing patients real-time …
including monitoring various physiological conditions and providing patients real-time …
FAMID: false alarms mitigation in IoMT devices
Abstract Wearable and Implantable Medical Devices (WIMDs) and Physiological Closed-
loop Control Systems (PCLCS) are crucial elements in the advancing field of the Internet of …
loop Control Systems (PCLCS) are crucial elements in the advancing field of the Internet of …
DeepCAD: A stand-alone deep neural network-based framework for classification and anomaly detection in smart healthcare systems
Contemporary smart healthcare systems (SHSs) frequently use wireless body sensor
devices (WBSDs) for vital sign monitoring and the internet of medical things (IoMT) network …
devices (WBSDs) for vital sign monitoring and the internet of medical things (IoMT) network …