Year: 2024
Type: article
Abstract: While cutting-edge technologies have revolutionized healthcare delivery and enabled transformative progress benefitting patients, operational efficiencies, and resource utilization, their widespread application and data-driven methods have introduced new complications endangering critical patient information's integrity, privacy, and availability. To tackle such threats, academics pushed for abbreviated processing periods, fortified security using cryptographic techniques to deter assaults, and energy-efficient algorithms minimizing energy expenditure during calculations. However, these frameworks continue experiencing prolonged processing, susceptibility to assaults, extravagant energy usage, and inadequate protection. The proposed model was tested using genuine patient health records amassed by IoT sensors and simulated diverse attack scenarios in Python to validate the suggested approach. The model strives to balance security, expediency, and conservation for a sustainable and trustworthy system. This paper evaluates the state of the arts related to security threats in Healthcare IoT and demonstrates significant improvements in the security and efficiency of the model.
Authors: Mukesh Kumar Bhardwaj, Manish Saraswat
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413035923