Encipher GAN: An End-to-End Color Image Encryption System Using a Deep Generative Model
نویسندگان
چکیده
Chaos-based image encryption schemes are applied widely for their cryptographic properties. However, chaos and relations remain a challenge. The chaotic systems defined on the set of real numbers then normalized to small group integers in range 0–255, which affects security such cryptosystems. This paper proposes an system developed using deep learning realize secure efficient transmission medical images over insecure network. non-linearity introduced with makes against plaintext attacks. Another limiting factor applying this area is quality recovered image. application appropriate loss function further improves employs structure similarity index metric (SSIM) train encryption/decryption network achieve desired output. helped generate cipher similar target originals concerning structure, luminance contrast. through proposed decryption scheme were high-quality, was justified by PSNR values. Security analysis its results explain that model provides statistical differential Comparative robustness system.
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ژورنال
عنوان ژورنال: Systems
سال: 2023
ISSN: ['2079-8954']
DOI: https://doi.org/10.3390/systems11010036