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<p>The proposed method employs hybrid QIE combining deoxyribonucleic acid (DNA) encoding, quantum true random number generator (QTRNG), and randomized quantum Fourier transform (RQFT) to enhance image encryption security. Initially, an input image is represented using novel enhanced quantum image representation (NEQR) and divided into subblocks to enhance parallel processing. NEQR encoding avoids amplitude-based measurements results in more accurate and efficient retrieval of original data. For the generation of random key sequences, a QTRNG is implemented using a combination of single-qubit rotation quantum gates RY (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11227_2025_7085_Article_IEq1.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="10" /> </InlineMediaObject> <EquationSource Format="TEX">\(\frac{\pi }{2}\)</EquationSource> <EquationSource Format="MATHML"><math> <mfrac> <mi>π</mi> <mn>2</mn> </mfrac> </math></EquationSource> </InlineEquation>) and RX (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11227_2025_7085_Article_IEq2.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\pi \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>π</mi> </math></EquationSource> </InlineEquation>) on the qubits exploiting their unique properties in introducing randomness. Encryption uses QTRNG and DNA key sequences to ensure more substantial diffusion and permutation processes. Sattolo algorithm has been diffused to select the RQFT combination from the available 23 shuffled combinations for encryption and to introduce randomness. Differential and statistical attack analyses were evaluated to verify the robustness of the proposed quantum encryption algorithm. The proposed encryption algorithm was carried out using IBM Qiskit, to validate the randomness of the generated QTRNG key sequences, National Institute of Standards and Technology (NIST) test suites—800-22 statistical test and 800-90b entropy estimation were carried out.</p>

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Enhanced quantum image encryption using DNA–QTRNG and Sattolo-RQFT shuffling

  • 期刊论文

  • 发表日期：

    2025年3月28日

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  • T. S. Gururaja,
  • Padmapriya Pravinkumar

摘要

The proposed method employs hybrid QIE combining deoxyribonucleic acid (DNA) encoding, quantum true random number generator (QTRNG), and randomized quantum Fourier transform (RQFT) to enhance image encryption security. Initially, an input image is represented using novel enhanced quantum image representation (NEQR) and divided into subblocks to enhance parallel processing. NEQR encoding avoids amplitude-based measurements results in more accurate and efficient retrieval of original data. For the generation of random key sequences, a QTRNG is implemented using a combination of single-qubit rotation quantum gates RY ( \(\frac{\pi }{2}\) π 2 ) and RX ( \(\pi \) π ) on the qubits exploiting their unique properties in introducing randomness. Encryption uses QTRNG and DNA key sequences to ensure more substantial diffusion and permutation processes. Sattolo algorithm has been diffused to select the RQFT combination from the available 23 shuffled combinations for encryption and to introduce randomness. Differential and statistical attack analyses were evaluated to verify the robustness of the proposed quantum encryption algorithm. The proposed encryption algorithm was carried out using IBM Qiskit, to validate the randomness of the generated QTRNG key sequences, National Institute of Standards and Technology (NIST) test suites—800-22 statistical test and 800-90b entropy estimation were carried out.