Cybersecurity is a critical concern in today's digital age, where organizations face an ever-
evolving cyber threat landscape. This study explores the potential of leveraging artificial …

The digitization of health data practices is simplifying the management of patient and
administrative information, addressing challenges, and optimizing care delivery. Healthcare …

Artificial Intelligence (AI) readiness enablers are crucial factors related to businesses in a
developed or developing economy. With the help of machine learning (ML) approaches like …

Online cloud data storage, a pillar of the IT industry, offers data owners a plethora of
attractive developments in highly sought-after online scalable storage services for them to …

In this paper, we are proposing a blockchain-based architectural model to ensure the
integrity of healthcare-sensitive data in an AI-based medical research context. In our …

Network Function Virtualization (NFV) is an enabling technology that brings together
automated network service management and corresponding virtualized network functions …

The approval of retrieving information on the Internet originates several network securities
matters. Intrusion recognition is a critical study in network security to spot unauthorized …

Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …

The widespread application of Internet of Things technology in the medical field results in
the generation of a large amount of healthcare data. Adequately learning valuable …

The effective association of multimodal data is the basis of massive multi-source
heterogeneous data sharing in the era of big data. How to realize data autonomous …