[HTML][HTML] Towards insighting cybersecurity for healthcare domains: A comprehensive review of recent practices and trends

M Javaid, A Haleem, RP Singh, R Suman - Cyber Security and Applications, 2023 - Elsevier
Healthcare information security is becoming a significant responsibility for all healthcare
organisations and individuals. Innovative medical equipment and healthcare apps are vital …

The security of big data in fog-enabled IoT applications including blockchain: A survey

N Tariq, M Asim, F Al-Obeidat, M Zubair Farooqi… - Sensors, 2019 - mdpi.com
The proliferation of inter-connected devices in critical industries, such as healthcare and
power grid, is changing the perception of what constitutes critical infrastructure. The rising …

MedChain: Efficient healthcare data sharing via blockchain

B Shen, J Guo, Y Yang - Applied sciences, 2019 - mdpi.com
Healthcare information exchange is an important research topic, which can benefit both
healthcare providers and patients. In healthcare data sharing, many cloud-based solutions …

Detection of advanced persistent threat using machine-learning correlation analysis

I Ghafir, M Hammoudeh, V Prenosil, L Han… - Future Generation …, 2018 - Elsevier
As one of the most serious types of cyber attack, Advanced Persistent Threats (APT) have
caused major concerns on a global scale. APT refers to a persistent, multi-stage attack with …

Security aspects of Internet of Things aided smart grids: A bibliometric survey

J Sakhnini, H Karimipour, A Dehghantanha, RM Parizi… - Internet of things, 2021 - Elsevier
The integration of sensors and communication technology in power systems, known as the
smart grid, is an emerging topic in science and technology. One of the critical issues in the …

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review

BA Alkhaleel - International Journal of Critical Infrastructure Protection, 2024 - Elsevier
The resilience of interdependent critical infrastructure systems (ICISs) is critical for the
functioning of society and the economy. ICISs such as power grids and telecommunication …

Modeling, detecting, and mitigating threats against industrial healthcare systems: a combined software defined networking and reinforcement learning approach

P Radoglou-Grammatikis, K Rompolos… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The rise of the Internet of Medical Things introduces the healthcare ecosystem in a new
digital era with multiple benefits, such as remote medical assistance, real-time monitoring …

Impact and key challenges of insider threats on organizations and critical businesses

N Saxena, E Hayes, E Bertino, P Ojo, KKR Choo… - Electronics, 2020 - mdpi.com
The insider threat has consistently been identified as a key threat to organizations and
governments. Understanding the nature of insider threats and the related threat landscape …

A review of insider threat detection: Classification, machine learning techniques, datasets, open challenges, and recommendations

MN Al-Mhiqani, R Ahmad, Z Zainal Abidin, W Yassin… - Applied Sciences, 2020 - mdpi.com
Insider threat has become a widely accepted issue and one of the major challenges in
cybersecurity. This phenomenon indicates that threats require special detection systems …

[HTML][HTML] Human factors in electronic health records cybersecurity breach: an exploratory analysis

LH Yeo, J Banfield - Perspectives in health information …, 2022 - ncbi.nlm.nih.gov
The healthcare sector continues to be the industry suffering one of the highest costs of a
data security breach. Healthcare lags behind other industries in cybersecurity preparedness …