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Attribute encryption based blockchain electronic medical record traceability method

Published: 30 July 2024 Publication History

Abstract

The current traceability methods for electronic medical record data face three primary challenges. Firstly, prevailing data privacy protection strategies predominantly rely on traditional asymmetric encryption technology, which, however, falls short in achieving fine-grained access control. This limitation complicates the tracking of dynamic data sharing. Secondly, existing encryption approaches often employ linear encryption for single processes, resulting in slow encryption and decryption rates for large storage space files, such as medical image data. Lastly, a substantial heterogeneity exists among blockchain platforms utilized by different hospitals, posing obstacles to seamless data sharing and exchange and contributing to the creation of data silos.This paper proposes an innovative electronic medical record data traceability method based on attribute encryption to address the aforementioned issues. The method employs attribute encryption to regulate ciphertext access, enabling dynamic sharing of private data. Simultaneously, the performance of traditional attribute encryption schemes is enhanced, and a fragment algorithm is introduced to accelerate the encryption and decryption processes for large files. Additionally, a blockchain cross-chain middleware is designed to facilitate data sharing between heterogeneous blockchains.

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  • (2024)Verifiability and Visibility of the Data Modification in cloud using Enhanced Attribute Based Encryption(ABE)2024 11th International Conference on Advances in Computing and Communications (ICACC)10.1109/ICACC63692.2024.10845454(1-5)Online publication date: 6-Nov-2024

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CNSCT '24: Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology
January 2024
669 pages
ISBN:9798400716959
DOI:10.1145/3673277
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2024

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  • (2024)Verifiability and Visibility of the Data Modification in cloud using Enhanced Attribute Based Encryption(ABE)2024 11th International Conference on Advances in Computing and Communications (ICACC)10.1109/ICACC63692.2024.10845454(1-5)Online publication date: 6-Nov-2024

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