Cyber-Resilience, Principles, and Practices

Meagher, Hilary; Dhirani, Lubna Luxmi

doi:10.1007/978-3-031-45162-1_4

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article2

Book1

Other1

Relationship

Self Cite1

Independent3

Authors

Journals

Cited by 4 publications

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Challenges in Cyber Risk Insurance

Pirra

2024

Mathematical and Statistical Methods for Actuarial Sciences and Finance

View full text Add to dashboard Cite

Challenges in Cyber Risk Insurance

Pirra

2024

Mathematical and Statistical Methods for Actuarial Sciences and Finance

View full text Add to dashboard Cite

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

Khatun,

Memon,

Eising

et al. 2023

IEEE Access

Self Cite

View full text Add to dashboard Cite

The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a datadriven infrastructure that highly relies on smart sensing devices (i.e., blood pressure monitors, temperature sensors, etc.) for faster response time, treatments, and diagnosis. However, with the evolving cyber threat landscape, IoT devices have become more vulnerable to the broader risk surface (e.g., risks associated with generative AI, 5G-IoT, etc.), which, if exploited, may lead to data breaches, unauthorized access, and lack of command and control and potential harm. This paper reviews the fundamentals of healthcare IoT, its privacy, and data security challenges associated with machine learning and H-IoT devices. The paper further emphasizes the importance of monitoring healthcare IoT layers such as perception, network, cloud, and application. Detecting and responding to anomalies involves various cyber-attacks and protocols such as Wi-Fi 6, Narrowband Internet of Things (NB-IoT), Bluetooth, ZigBee, LoRa, and 5G New Radio (5G NR). A robust authentication mechanism based on machine learning and deep learning techniques is required to protect and mitigate H-IoT devices from increasing cybersecurity vulnerabilities. Hence, in this review paper, security and privacy challenges and risk mitigation strategies for building resilience in H-IoT are explored and reported.

show abstract

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

Dhirani

2024

2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC)

View full text Add to dashboard Cite

Cyber-Resilience, Principles, and Practices

Cited by 4 publications

References 22 publications

Challenges in Cyber Risk Insurance

Challenges in Cyber Risk Insurance

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

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

Contact Info

Product

Resources

About