Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15648
Title: Multiple Precision Arithmetic with Blowfish Crypto Method for Medical Data Storage Using Blockchain Technology
Authors: Dinesh Kumar, K
Prabhu Shankar, B
Dhinakaran, D
Shanthi, H J
Vennila, G
Senthil, P
Keywords: Blockchain Consensus Algorithms
Multiple Precision Arithmetic
Privacy Preserving
Scalability
Throughput
Issue Date: 2023
Publisher: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023
Institute of Electrical and Electronics Engineers Inc.
Abstract: The conventional paradigm for data sharing relies on centralized third-party platforms, leading to challenges such as sluggish transaction velocities and insufficient data security. This research article introduces a data-sharing framework founded on blockchain technology, ensuring both traceability and security aspects. Initially, we devised an innovative methodology utilizing a hybrid block cipher encryption technique. This methodology not only fortifies data protection, but also facilitates swift encryption and decryption processes, thereby mitigating transaction duration. Furthermore, we have established a log tracking mechanism utilizing smart contracts. This mechanism chronicles occurrences of medical data sharing on the blockchain and portrays them visually, adeptly addressing the identity tracking requirements of patients, medical practitioners, and researchers. Empirical investigations substantiate that our approach substantially enhances data security, provides real-time identity tracking for all relevant stakeholders, and sustains an elevated level of data throughput. © 2023 IEEE.
URI: http://dx.doi.org/10.1109/ICSES60034.2023.10465488
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15648
ISBN: 9798350319200
Appears in Collections:Conference Papers

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