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Deniable Authentication Encryption for Privacy Protection using Blockchain
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Deniable Authentication Encryption for Privacy Protection using Blockchain
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Home / Archives / Volume-3 / Issue-3 / Article-8

Volume - 3 | Issue - 3 | september 2021

Deniable Authentication Encryption for Privacy Protection using Blockchain
C. Vijesh Joe  , Jennifer S. Raj  397  387
Pages: 259-271
Cite this article
Joe, C. V. & Raj, J. S. (2021). Deniable Authentication Encryption for Privacy Protection using Blockchain. Journal of Artificial Intelligence and Capsule Networks, 3(3), 259-271. doi:10.36548/jaicn.2021.3.008
Published
03 September, 2021
Abstract

Cloud applications that work on medical data using blockchain is used by managers and doctors in order to get the image data that is shared between various healthcare institutions. To ensure workability and privacy of the image data, it is important to verify the authenticity of the data, retrieve cypher data and encrypt plain image data. An effective methodology to encrypt the data is the use of a public key authenticated encryption methodology which ensures workability and privacy of the data. But, there are a number of such methodologies available that have been formulated previously. However, the drawback with those methodologies is their inadequacy in protecting the privacy of the data. In order to overcome these disadvantages, we propose a searchable encryption algorithm that can be used for sharing blockchain- based medical image data. This methodology provides traceability, unforgettable and non-tampered image data using blockhain technology, overcoming the drawbacks of blockchain such as computing power and storage. The proposed work will also sustain keyword guessing attacks apart from verification of authenticity and privacy protection of the image data. Taking these factors into consideration, it is determine that there is much work involved in providing stronger security and protecting privacy of data senders. The proposed methodology also meets the requirement of indistinguishability of trapdoor and ciphertext. The highlights of the proposed work are its capability in improving the performance of the system in terms of security and privacy protection.

Keywords

Medical Imaging Searchable encryption privacy of identity Deniable authentication encryption Blockchain

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