Authors : M. Rajathi; Dr. K. Mohan Kumar

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/5yhsj9zt

Scribd : https://tinyurl.com/382es4ku

DOI : https://doi.org/10.38124/ijisrt/26jan1080

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Blockchain technology has emerged as a transformative solution for enhancing security, transparency, and data integrity in healthcare monitoring systems. Central to blockchain’s functionality are hashing algorithms, which ensure data immutability and secure transaction verification. This study presents a comparative analysis of various blockchain hashing algorithms, evaluating their efficiency, security features, computational complexity, and suitability for healthcare monitoring applications. By examining algorithms such as SHA-256, SHA-3, Blake2, and others, the research aims to identify the optimal hashing mechanism that balances performance with robust security requirements in healthcare contexts. The analysis considers factors including speed, resistance to cryptographic attacks, energy consumption, and scalability. Results highlight the trade-offs inherent in selecting hashing algorithms for healthcare monitoring, where real- time data processing and patient privacy are critical. This paper contributes to advancing blockchain adoption in healthcare by guiding the selection of hashing algorithms tailored to the unique demands of healthcare monitoring systems.

Keywords : Blockchain, Hashing Algorithms, Healthcare Monitoring Systems, Data Security, Cryptographic Hash Functions, SHA-256.

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