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Issue title: Special Section: Enabling Technologies for Healthcare 5.0
Guest editors: Chi Lin, Chang Wu Yu and Ning Wang
Article type: Research Article
Authors: Gayathri D, Bala* | Sangeetha, D.
Affiliations: Information Science and Technology, College of Engineering, Anna University, Chennai, India
Correspondence: [*] Corresponding author: Bala Gayathri D, Information Science and Technology, College of Engineering, Anna University, Chennai, India. E-mail: [email protected].
Abstract: BACKGROUND: In the modern medical industry, sensors and other medical electronic equipment such as ECG, thermometers, etc. that measure vitals like blood pressure, body temperature, heartbeat, and blood cells are used to record patient data. The information gathered helps to create a patient profile, which in turn helps doctors treat patients appropriately and helps users gain insights into their health. But, the information collected is regionally specific and not worldwide. Thus, this may create problems in transparency, integrity, and much more. The medical details of patients collected are stored in a simple database which appears to be a centralized application that is prone to be modified or hacked by intruders and also suffers from fault tolerance. OBJECTIVE: This paper aims to solve this problem using Blockchain and Data Possession methodologies. METHODS: Blockchain helps to store multiple copies of data in a decentralized fashion. Thus, a secured model could be implemented using blockchain in which the patient’s data can be securely sent to any medical professional, thus promoting transparency, security, and integrity. RESULTS: Provable Data Possession helps the users to verify that their information is intact and has not been tampered. It can be achieved using cryptography which encrypts the information of the patients stored. CONCLUSION: This paper will be beneficial for the medical department and the public such that it will be beneficial in terms of transparency, scalability, and security.
Keywords: Blockchain, provable data possession, SQL injection attacks, machine learning, neural networks, cryptography
DOI: 10.3233/THC-240921
Journal: Technology and Health Care, vol. 32, no. 6, pp. 5105-5127, 2024
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