A CHAOS-BASED HYBRID IMAGE ENCRYPTION SCHEME USING DNA ENCODING AND DEEP NEURAL NETWORK KEY GENERATION
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| Format: | Recurso digital |
| Language: | English |
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2025
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| _version_ | 1866901750420602880 |
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| author | alsaadi, lamis alsaadi |
| author_facet | alsaadi, lamis alsaadi |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17936061 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A CHAOS-BASED HYBRID IMAGE ENCRYPTION SCHEME USING DNA ENCODING AND DEEP NEURAL NETWORK KEY GENERATION alsaadi, lamis alsaadi image encryption, chaos theory, DNA encoding, deep neural networks, hyper-chaotic systems, cryptography, information security, CNN-based key generation image encryption chaos theory DNA encoding deep neural networks hyper-chaotic systems cryptography information security CNN-based key generation <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> |
| title | A CHAOS-BASED HYBRID IMAGE ENCRYPTION SCHEME USING DNA ENCODING AND DEEP NEURAL NETWORK KEY GENERATION |
| topic | image encryption, chaos theory, DNA encoding, deep neural networks, hyper-chaotic systems, cryptography, information security, CNN-based key generation image encryption chaos theory DNA encoding deep neural networks hyper-chaotic systems cryptography information security CNN-based key generation |
| url | https://doi.org/10.5281/zenodo.17936061 |