Evidence map›Paper›PMID 33559087›Full record

ArticleMedical & biological engineering & computing2021

An efficient medical image encryption using hybrid DNA computing and chaos in transform domain.

Dhivya Ravichandran, Aashiq Banu S, B K Murthy, Vidhyadharini Balasubramanian, Sherin Fathima, Rengarajan Amirtharajan

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  14. An Operational DNA Strand Displacement Encryption Approach.Nanomaterials (Basel, Switzerland) · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dhivya RavichandranSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.
Aashiq Banu SSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.
B K MurthyMinistry of Electronics and IT, New Delhi, India.
Vidhyadharini BalasubramanianSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.
Sherin FathimaInfosys Limited, Mysore, Karnataka, 570027, India.
Rengarajan AmirtharajanSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India. amir@ece.sastra.edu.

Funding

DST FIST FUND SR/FST/ET-II/2018/221DST/INSPIRE Fellowship DST/INSPIRE Fellowship/2015/IF150628
6 · The paper itself

Abstract

In this growing era, a massive amount of digital electronic health records (EHRs) are transferred through the open network. EHRs are at risk of a myriad of security threats, to overcome such threats, encryption is a reliable technique to secure data. This paper addresses an encryption algorithm based on integer wavelet transform (IWT) blended with deoxyribo nucleic acid (DNA) and chaos to secure the digital medical images. The proposed work comprises of two phases, i.e. a two-stage shuffling phase and diffusion phase. The first stage of shuffling starts with initial block confusion followed by row and column shuffling of pixels as the second stage. The pixels of the shuffled image are circularly shifted bitwise at the first stage of diffusion to enhance the security of the system against differential attack. The second stage of diffusion operation is based on DNA coding and DNA XOR operations. The experimental analyses have been carried out with 100 DICOM test images of 16-bit depth to evaluate the strength of the algorithm against statistical and differential attacks. By the results, the maximum entropy has been obtained an average of 15.79, NPCR of 99.99, UACI of 33.31, and larger keyspace of 10

Indexed as

Computer SecurityNucleic AcidsAlgorithmsDNAWavelet AnalysisDNANucleic AcidsChaotic mapsCircular shiftingDICOM encryptionIWTShuffling unit

Identifiers

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.