Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation

MA Khatun, SF Memon, C Eising, LL Dhirani - IEEE Access, 2023 - ieeexplore.ieee.org
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …

A Systematic Literature Review on the NIS2 Directive

J Ruohonen - arXiv preprint arXiv:2412.08084, 2024 - arxiv.org
A directive known as NIS2 was enacted in the European Union (EU) in late 2022. It deals
particularly with European critical infrastructures, enlarging their scope substantially from an …

[HTML][HTML] Collaboration practices for the cybersecurity of supply chains to critical infrastructure

T Wallis, P Dorey - Applied Sciences, 2024 - mdpi.com
This work describes the collaboration practices of a community of interest in the UK that
brings together cybersecurity professionals with a shared interest in improving supply chain …

Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT

MA Khatun, M Bhattacharya, C Eising… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
This research develops a new method to detect anomalies in time series data using
Convolutional Neural Net-works (CNNs) in healthcare-IoT. The proposed method creates a …

Data Security, Privacy and Cyber Policy of Pakistan: A Closer Look

LL Dhirani - 2024 IEEE 1st Karachi Section Humanitarian …, 2024 - ieeexplore.ieee.org
Living in an immersive, agile and a fully digital world where the scope, nature and ways of
communication, connectivity, operations, business, finance, supply-chain, etc. have all …

Addressing Unique Cybersecurity Challenges in Telehealth and Remote Physiologic Monitoring

U Jafar, HA Hussain - Secure Health - taylorfrancis.com
This chapter provides a detailed analysis of the cybersecurity challenges related to
telehealth and remote physiologic monitoring (RPM), which have become increasingly …

Securing industry 5.0 using 6σ CYBERNETIC framework

LL Dhirani, T Newe - Mehran University Research Journal Of …, 2024 - search.informit.org
The data-driven digital economy highly relies on immersive and emerging technologies,
mass customisation, autonomous systems, and seamless connectivity. Enabling such an …

Machine learning for healthcare-IoT security: a review and risk mitigation

M Akhi, S Farheen Memon, C Eising, LL Dhirani - 2023 - researchrepository.ul.ie
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a
data? driven infrastructure that highly relies on smart sensing devices (ie, blood pressure …

[PDF][PDF] EVALUATING THE EFFECTIVENESS OF SECURITY TESTING TOOLS IN AUTOMATED TESTING

S Nandi - 2024 - trepo.tuni.fi
Another important aspect that has been found is that the commercial tools although boasts
bigger number of features, open-source tools are popularly used in most cases. The main …

Challenges in Cyber Risk Insurance

M Pirra - Mathematical and Statistical Methods for Actuarial …, 2024 - Springer
This paper illustrates the main challenges identified in the literature on cyber risk
assessment in order to provide possible solutions for the reduction of the gap between …