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FEDResNet: a flexible image encryption and decryption scheme based on end-to-end image diffusion with dilated ResNet.

Leqing Zhu, Weiwei Qu, Xingyang Wen

    Applied Optics
    |January 6, 2023
    PubMed
    Summary

    Flexible image encryption and decryption ResNet (FEDResNet) offers secure image disguise. This deep learning model enables direct image classification in ciphertext, enhancing data security and accessibility for authorized users.

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    Area of Science:

    • Computer Science
    • Cryptography
    • Deep Learning

    Background:

    • Image encryption is crucial for preventing unauthorized access to visual data.
    • Existing deep learning-based encryption methods often lack flexibility and convenience.
    • The need for secure yet accessible image data processing is growing.

    Purpose of the Study:

    • To propose a flexible image encryption and decryption ResNet (FEDResNet) architecture.
    • To enhance image security through optional parallel scrambling and serial diffusion.
    • To enable direct classification of medical images within a ciphertext environment.

    Main Methods:

    • Developed an end-to-end FEDResNet architecture with distinct encryption and decryption networks.
    • Implemented two optional security enhancement operations: parallel scrambling and serial diffusion.

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  • Utilized a chaotic map to generate two key planes from a user-defined key for access control.

    • Main Results:

    • FEDResNet demonstrated high security and satisfactory efficiency on the ImageNet dataset.
    • Encrypted images could be accurately classified in the ciphertext domain, matching plaintext accuracy.
    • The model's shared structure and parameters offer superior flexibility compared to prior methods.

    Conclusions:

    • FEDResNet provides a secure, efficient, and flexible solution for image encryption.
    • The ability to classify encrypted images directly in ciphertext is a significant advancement.
    • This method enhances data security while maintaining usability for authorized access and analysis.