Blockchain for Secure Medical Records Storage and Medical Service Framework using SHA 256 – Verifiable Key

doi:10.22266/ijies2021.1231.01

Cited by 1 publication

(2 citation statements)

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“…Hash values are produced by SHA-256 functions and the process of hashing is extremely difficult to reverse. 10 If minor changes are made in the hash values of the original data, a newly generated hash value cannot be derived from that data which indicates the process of hashing is extremely difficult to reverse.…”

Section: Multi-chaotic and Blockchain-based Encryption (Mcbe) Modelmentioning

confidence: 99%

“…The hashing process of the SHA-256 hash function is extremely difficult to reverse, thus improving the security of the encryption model. 10 In this work, an image encryption model (MCBE) is based on multi-chaotic maps and blockchains. The model has been built utilizing a logistic map, tent map, and blockchain that gets applied using the SHA-256 hash function.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐chaotic maps and blockchain based image encryption

Kumari,

Singh,

Singh

2024

Concurrency and Computation

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SummaryThe vast technological developments make data transmission more frequent over networks. So, the data needs to be secured and for that reason, there is a requirement to develop an effective encryption model. This article proposes a novel image encryption model using multi‐chaotic maps and blockchain (MCBE). Chaotic maps have been used in encryption models as chaotic maps have the properties of randomness, and non‐periodicity that get utilized in improving the efficiency of an encryption model. Logistic and tent maps have been employed as multi‐chaotic maps to make the encryption process effective in this work. A logistic map has a simple structure and is easily implementable but has some drawbacks like small keyspace. Keyspace and randomness are enhanced by using a tent map along with a logistic map. The proposed MCBE methodology applies to grayscale or colored images having different file formats and sizes. Initially, in the confusion phase, the permutation of the original image is performed based on a random permutation that changes the original image pixel's position. The encryption model applies multi‐chaotic maps, row‐wise and column‐wise in the diffusion phase to promote the efficiency of the encryption model. Finally, blockchain has been implemented using the SHA‐256 hash function to obtain the encrypted image that enhances the security by increasing the keyspace, to resist brute force attacks. The evaluation performance of the MCBE has been analyzed against various attacks namely statistical attacks, differential attacks, NIST randomness test, noise, and cropping attacks. The evaluated keyspace is which has high key sensitivity with a correlation of encrypted images close to 0. Maximum achieved entropy value of 7.9998, SSIM value between original and encrypted images nearby 0 confirms the dissimilarity. The Number of Pixels Change Rate (NPCR) value of 99.62%, and the value of Unified Average Changed Intensity (UACI) value of 33.54% are within the specified standard range. The calculated correlation coefficient, NPCR, and UACI values have been compared with the existing algorithms, and the results show that the proposed MCBE methodology has better performance than the other state‐of‐the‐art methods. The experimental results indicate that the chaotic ranges generated by multi‐chaotic maps and the SHA‐256 hash function improve the keyspace and security of the encryption model confirming the efficacy of the proposed model MCBE.

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Section: Multi-chaotic and Blockchain-based Encryption (Mcbe) Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%