ItemConference Paper

A Comparative Analysis of Blockchain and Large Language Models in Enhancing Telehealth Data Security

Title
A Comparative Analysis of Blockchain and Large Language Models in Enhancing Telehealth Data Security
Creator
Sabu, Aleena; Joy, Sibix; Loveline Zeema, J.; Suganthi, J.
Description
Healthcare is rapidly moving toward utilizing technologies that enhance the delivery, management, and security of healthcare. Telehealth has greatly streamlined access to medical care, especially in managing chronic diseases. The rapid development of IoT devices and digital health records posed critical challenges in data security and privacy, among other operational issues. A centralized system is vulnerable to breaches, and therefore, there is a need for more robust and decentralized solutions. There are risks involved in the current centralized system and a new stronger decentralized system is required. The blockchain has a way of providing safe, immutable ledgers with which health data can be managed; however, its static security measures need to be improved in the context of the kind of risks and at- tacks that may appear these days. This research looks to introduce Large Language Models into blockchain-based telehealth systems. LLMs enhance blockchain security through real- time detection of threats, anomalous behavior, and optimized execution of smart contracts as LLMs contain advanced processing and pattern recognition. This system combines both the merits of blockchains decentralized architecture and the intelligent analytics of LLMs to bring a dynamic and scalable framework of telehealth security, which enhances data privacy, operational transparency, and system resilience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Source
Lecture Notes in Electrical Engineering;Volume;1599 LNEE;pp.250-263
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Blockchain; Data security; Large Language Models (LLMs); Telehealth
Coverage
Sabu A., Department of Computer Science, Statistics AND Data Science, CHRIST (Deemed to Be University), Bengaluru, India; Joy S., Department of Computer Science, Statistics AND Data Science, CHRIST (Deemed to Be University), Bengaluru, India; Loveline Zeema J., Department of Computer Science, Statistics AND Data Science, CHRIST (Deemed to Be University), Bengaluru, India; Suganthi J., Department of Computer Science, Statistics AND Data Science, CHRIST (Deemed to Be University), Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 18761100; ISBN: 978-303220317-5;
Format
online
Language
English
Type
Conference paper

Citation

Sabu, Aleena; Joy, Sibix; Loveline Zeema, J.; Suganthi, J., “A Comparative Analysis of Blockchain and Large Language Models in Enhancing Telehealth Data Security,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25408.

Output Formats