Citation

Belgaum, Mohammad Riyaz and Pothureddy, Priyanka and Patnam, Sai Suraksha and Gadda, Parimala Deepthi (2024) A Novel Framework for Preserving Patient Health Record in IoT Healthcare. In: 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 18-19 July 2024, Villupuram, India.

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Abstract

As artificial intelligence, the Internet of Things (IoT), and next-generation mobile communication continue to evolve at a rapid pace, an increasingly popular application called the Internet of Medical Things (IoT) has arisen to provide ease and practicality in healthcare. Nonetheless, privacy preservation issues are brought up by accessing patient medical information inside the IoT framework, which calls for the creation of safe and private-preserving solutions. To address these issues, we provide in this study an IoT-Framework for preserving patient health record (FFPPHR) based on ELGamal blind signatures. We provide an enhanced privacy protection medical record searching technique (FFPPHR) based on the elliptic curve discrete logarithm problem (ECDLP) and point out security vulnerabilities in the current FFPPHR. Our security research shows that by utilizing the hard problem assumption of ECDLP, the FPMR guarantees identity privacy and accuracy. Furthermore, the use of Blind ECDSA Signatures improves data security. Performance assessments confirm the FFPPHR efficiency, and theoretical findings agree with simulations. The suggested FFPPHR approach yields lower time costs when compared to state-of-the-art techniques, which makes it a potential option for safe and effective medical record searches in IoT contexts.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	elliptic curve discrete logarithm problem (ECDLP), blind ECDSA signature, performance assessment, Internet of` Things (IoT), privacy preservation, and medical record search.
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Nov 2024 00:41
Last Modified:	04 Nov 2024 00:41
URII:	http://shdl.mmu.edu.my/id/eprint/13064

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