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| Autor principal: | |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| Materias: | |
| Acceso en línea: | https://doi.org/10.5281/zenodo.17936061 |
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- <p>This repository contains the preprint of the research article entitled <em>“A chaos-based hybrid image encryption scheme using DNA encoding and deep neural network key generation.”</em></p> <p>The study proposes a novel hybrid image encryption framework that integrates convolutional neural networks (CNNs) for plaintext-dependent dynamic key generation, a two-dimensional hyper-chaotic map for pixel permutation and diffusion, and dynamic DNA encoding for bit-level confusion. Unlike conventional chaos-based or DNA-based encryption schemes, the proposed method forms a fully coupled, adaptive architecture in which the plaintext image directly influences the cryptographic key stream and subsequent encryption stages.</p> <p>Extensive experimental evaluations on standard benchmark images demonstrate near-ideal cryptographic performance in terms of information entropy, differential attack resistance (NPCR and UACI), pixel correlation, key sensitivity, and robustness against noise and data loss.</p> <p>This version is a preprint and has been submitted to <em>PLOS ONE</em> for peer review. The content may be updated following the review process.</p>