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Synopsis
Rapid digital advances have made image security crucial, especially in fields like banking, biometrics, and social media. This study proposes a novel image cryptosystem combining DNA and chaos-based cryptography to ensure secure image transmission. A Cross Cosine Map (CCM) generates chaotic keys for grayscale image encryption, while a hyper-chaos-based system secures color images. A lightweight architecture offers dual-layered protection for biometric data. The system's performance is validated using statistical, differential, and robustness analyses, along with standard image quality metrics.
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Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing (Paperback)
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Paperback. Condition: new. Paperback. Rapid digital advances have made image security crucial, especially in fields like banking, biometrics, and social media. This study proposes a novel image cryptosystem combining DNA and chaos-based cryptography to ensure secure image transmission. A Cross Cosine Map (CCM) generates chaotic keys for grayscale image encryption, while a hyper-chaos-based system secures color images. A lightweight architecture offers dual-layered protection for biometric data. The system's performance is validated using statistical, differential, and robustness analyses, along with standard image quality metrics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9789348892218
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