Evidence map›Paper›PMID 42082702›Full record

ArticleScientific reports2026

Enhancing medical image security with quantum DNA dual encryption.

Saba Inam, Shamsa Kanwal, Rehana Amir, Shaha Al-Otaibi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Saba InamDepartment of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan.
Shamsa KanwalDepartment of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan. shamsa.kanwal@fjwu.edu.pk.
Rehana AmirDepartment of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan.
Shaha Al-OtaibiDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, 11671, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring patient secrecy and maintaining data integrity are critical in healthcare information security. With increasing demands for stronger protection in the management and storage of medical images, this study introduces an innovative framework utilizing chaos-based quantum encryption for enhanced security. This approach combines a DNA codec with the QFBT (Quantum Fibonacci Transform), creating a unique dual-encryption method for quantum color images. The process begins with converting a standard color image to quantum data through GQIR (Generalized Quantum Image Representation) technique. A DNA codec then encodes and decodes the pixel color data of the quantum image, achieving pixel-level diffusion. Finally, the QFBT is applied to scramble the image's spatial data. The resulting transformed image is then used as the key matrix in quantum XOR functions. Findings from the experiment indicate that both the correlation and peak value of the encrypted image histograms show strong similarity. The mean NPCR (Normalized Pixel Change Rate) for the RGB channels is 99.63%, while UACI (Uniform Average Change Intensity) is 33.43%. Additionally, the mean information entropy is approximately 7.9992. These findings demonstrate the effectiveness of QDIES in providing robust security for medical image data.

Indexed as

Computer SecurityDiagnostic ImagingDNAImage Processing, Computer-AssistedAlgorithmsHumansQuantum TheoryDNADNA codecQuantum addersQuantum circuitsQuantum Fibonacci transformQuantum image encryptionSecurity analysis

Identifiers

PMID42082702
PMCPMC13328322

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LicenceCC BY-NC-ND
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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.