Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

Secure and privacy-preserving crowdsensing using smart contracts: Issues and solutions

AJ Perez, S Zeadally - Computer Science Review, 2022 - Elsevier
The advent of Blockchain and smart contracts is empowering many technologies and
systems to automate commerce and facilitate the exchange, tracking and the provision of …

A survey on security and privacy issues in modern healthcare systems: Attacks and defenses

AKMI Newaz, AK Sikder, MA Rahman… - ACM Transactions on …, 2021 - dl.acm.org
Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …

Heka: A novel intrusion detection system for attacks to personal medical devices

AKMI Newaz, AK Sikder, L Babun… - 2020 IEEE Conference …, 2020 - ieeexplore.ieee.org
Modern Smart Health Systems (SHS) involve the concept of connected personal medical
devices. These devices significantly improve the patient's lifestyle as they permit remote …

Trustworthiness of medical devices and body area networks

M Zhang, A Raghunathan, NK Jha - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
Implantable and wearable medical devices (IWMDs) are commonly used for diagnosing,
monitoring, and treating various medical conditions. A general trend in these medical …

Secure data sharing with blockchain for remote health monitoring applications: a review

V Upadrista, S Nazir, H Tianfield - Journal of Reliable Intelligent …, 2023 - Springer
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 …

Edge security: Challenges and issues

X Jin, C Katsis, F Sang, J Sun, A Kundu… - arXiv preprint arXiv …, 2022 - arxiv.org
Edge computing is a paradigm that shifts data processing services to the network edge,
where data are generated. While such an architecture provides faster processing and …

Formal threat analysis of machine learning-based control systems: A study on smart healthcare systems

NI Haque, MA Rahman, S Uluagac - Computers & Security, 2024 - Elsevier
Modern cyber-physical systems (CPSs) use the Internet of Things (IoT) to collect and
exchange data efficiently, monitor device/sensor level interaction effectively, and adopt new …

Solutions for mitigating cybersecurity risks caused by legacy software in medical devices: a scoping review

T Tervoort, MT De Oliveira, W Pieters… - IEEE …, 2020 - ieeexplore.ieee.org
Cyberattacks against healthcare institutions threaten patient care. The risk of being targeted
by a damaging attack is increased when medical devices are used which rely on …

A novel framework for threat analysis of machine learning-based smart healthcare systems

NI Haque, MA Rahman, MH Shahriar, AA Khalil… - arXiv preprint arXiv …, 2021 - arxiv.org
Smart healthcare systems (SHSs) are providing fast and efficient disease treatment
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …