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Indigo Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing: Exploring the Role of Chaotic and Bio-Molecular Computing in Image Security | Erin Mills Town Centre
Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing: Exploring the Role of Chaotic and Bio-Molecular Computing in Image Security
Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing: Exploring the Role of Chaotic and Bio-Molecular Computing in Image Security
Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing: Exploring the Role of Chaotic and Bio-Molecular Computing in Image Security
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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.
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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