Blockchain Enabled Secure Transaction using Hash Functions in Healthcare Data

Alan Sunil , Smitha Anu Thomas

Keywords: Blockchain, Hash function, Health technologies, Artificial intelligence.

Abstract: Blockchain can be defined as an interconnected chain of data blocks that allows the creation of transaction records based on a managed distributed consensus protocol without a central authority. Hash functions are the most important element in the security foundations of blockchain technology. This paper presents an insight into the application of cryptographic hash functions in securing and managing healthcare data stored using blockchain technology. Over the last few decades, the healthcare industry has continuously grown, with hundreds of thousands of patients obtaining treatment remotely using smart devices. Data security becomes a prime concern with such a massive increase in the number of patients. Numerous attacks on healthcare data have recently been identified that can put the patient’s identity at stake. For example, the private data of millions of patients have been published online, posing a severe risk to patients’ data privacy. However, with the advent of Industry 4.0, medical practitioners can digitally assess the patient’s condition and administer prompt prescriptions. However, wearable devices are also vulnerable to numerous security threats, such as session hijacking, data manipulation, and spoofing attacks. Attackers can tamper with the patient’s wearable device and relays the tampered data to the concerned doctor. This can put the patient’s life at high risk. Since blockchain is a transparent and immutable decentralized system, it can be utilized for securely storing patient’s wearable data.

Published Paper   E-Certificate

"Blockchain Enabled Secure Transaction using Hash Functions in Healthcare Data", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1346 - 1349, March-2023, Available :https://ijsdr.org/papers/IJSDR2303223.pdf

Volume 8 Issue 3, March-2023

Pages : 1346 - 1349

Paper Reg. ID: IJSDR_204950

Published Paper Id: IJSDR2303223

Downloads: 000347458

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303223

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303223

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition