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DC Field | Value | Language |
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dc.contributor.author | Dinesh Kumar, K | - |
dc.contributor.author | Prabhu Shankar, B | - |
dc.contributor.author | Dhinakaran, D | - |
dc.contributor.author | Shanthi, H J | - |
dc.contributor.author | Vennila, G | - |
dc.contributor.author | Senthil, P | - |
dc.date.accessioned | 2024-05-29T08:51:26Z | - |
dc.date.available | 2024-05-29T08:51:26Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9798350319200 | - |
dc.identifier.uri | http://dx.doi.org/10.1109/ICSES60034.2023.10465488 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15648 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023 | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.subject | Blockchain Consensus Algorithms | en_US |
dc.subject | Multiple Precision Arithmetic | en_US |
dc.subject | Privacy Preserving | en_US |
dc.subject | Scalability | en_US |
dc.subject | Throughput | en_US |
dc.title | Multiple Precision Arithmetic with Blowfish Crypto Method for Medical Data Storage Using Blockchain Technology | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
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