Cybersecurity Approaches to IoT Platforms in E-Healthcare Systems

Oscar, Federick; Matthew, Ugochukwu Okwudili; Oladele, Hope Ayokunle; Akpan, Edidiong Elijah; Cole, Oluwaseun Adeyombo; Ademilua, Bamidele Olalekan; Onyebuchi, Amaonwu

Abstract

This paper explored the crucial areas of cybersecurity in the healthcare industry, stressing the need to defend healthcare infrastructures and private patient information against online attacks. As part of their applications in electronic healthcare (e-healthcare) services for risk management, fraud detection, and identity authentication to effectively mitigate cyber risks, the current paper proposed bimodal access gateway authentication using artificial neural network (ANN) computer algorithm to secure e-healthcare data warehouse infrastructure. In this study, distributed cloud Internet of Things (IoT) data warehouse server systems were created and connected through 5G radio frequency access network to enable healthcare grid data warehouse information synchronization, resource allocation and service-level optimization. This approach was adopted to strengthen cybersecurity defense and keep systems ahead of every evolving cyber threats in the e-healthcare data warehouse repositories.

• Publication Date: Mar 7, 2025
• Deposit Date: May 9, 2025
• Pages: 89-124
• Book Title: AI-Driven Healthcare Cybersecurity and Privacy
• Chapter Number: 4
• ISBN: 9798337328270 ; 9798337328287
• DOI: https://doi.org/10.4018/979-8-3373-2827-0.ch004