[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 …

Cybersecurity risk management framework for blockchain identity management systems in health IoT

B Alamri, K Crowley, I Richardson - Sensors, 2022 - mdpi.com
Blockchain (BC) has recently paved the way for developing Decentralized Identity
Management (IdM) systems for different information systems. Researchers widely use it to …

[HTML][HTML] The case of HyperLedger Fabric as a blockchain solution for healthcare applications

MS Antwi, A Adnane, F Ahmad, R Hussain… - Blockchain: Research …, 2021 - Elsevier
The healthcare industry deals with highly sensitive data which must be managed in a secure
way. Electronic Health Records (EHRs) hold various kinds of personal and sensitive data …

A multi-layer security scheme for mitigating smart grid vulnerability against faults and cyber-attacks

J Chen, MA Mohamed, U Dampage, M Rezaei… - Applied Sciences, 2021 - mdpi.com
To comply with electric power grid automation strategies, new cyber-security protocols and
protection are required. What we now experience is a new type of protection against new …

Towards a machine learning based situational awareness framework for cybersecurity: an SDN implementation

Y Nikoloudakis, I Kefaloukos, S Klados, S Panagiotakis… - Sensors, 2021 - mdpi.com
The ever-increasing number of internet-connected devices, along with the continuous
evolution of cyber-attacks, in terms of volume and ingenuity, has led to a widened cyber …

IoT sensor initiated healthcare data security

KM Besher, Z Subah, MZ Ali - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
While the Internet of Things (IoT) has been instrumental in healthcare data transmission, it
also presents vulnerabilities and security risks to patients' personalized health information …

Predicting user susceptibility to phishing based on multidimensional features

R Yang, K Zheng, B Wu, D Li, Z Wang… - Computational …, 2022 - Wiley Online Library
While antiphishing techniques have evolved over the years, phishing remains one of the
most threatening attacks on current network security. This is because phishing exploits one …

Internet of things with machine learning-based smart cardiovascular disease classifier for healthcare in secure platform

S Das, J Das, S Modak… - Internet of Things and …, 2022 - api.taylorfrancis.com
In today's epoch, different cardiac diseases and cardiopulmonary arrest are the most
common problems in majority of people. Peoples are not focusing on or paying attention to …

Vercasm-cps: Vulnerability analysis and cyber risk assessment for cyber-physical systems

B Northern, T Burks, M Hatcher, M Rogers… - Information, 2021 - mdpi.com
Since Cyber-Physical Systems (CPS) are widely used in critical infrastructures, it is essential
to protect their assets from cyber attacks to increase the level of security, safety and …

A survey on human and personality vulnerability assessment in cyber-security: Challenges, approaches, and open issues

D Papatsaroucha, Y Nikoloudakis, I Kefaloukos… - arXiv preprint arXiv …, 2021 - arxiv.org
These days, cyber-criminals target humans rather than machines since they try to
accomplish their malicious intentions by exploiting the weaknesses of end users. Thus …