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    Area of Science:

    • Optics and Photonics
    • Information Security
    • Computer Vision

    Background:

    • Optical encryption, particularly using computer-generated holograms (CGH), offers simple and feasible solutions for secure data transmission.
    • Existing CGH-based optical encryption systems rely on phase-only masks and phase retrieval algorithms, with security assumed due to the complexity of key extraction.
    • The security and cryptoanalysis of CGH-based optical encryption have remained largely unexplored.

    Purpose of the Study:

    • To propose and demonstrate a novel learning-based attack against CGH-based optical security systems.
    • To assess the practical security of CGH-based optical encryption by challenging its keyless security assumptions.
    • To establish a new methodology for the cryptoanalysis of optical encryption techniques.

    Main Methods:

    • A learning-based attack strategy was developed, utilizing pairs of CGH patterns (ciphertexts) and their corresponding input images (plaintexts).
    • A machine learning model was trained on these ciphertext-plaintext pairs to learn the mapping between encrypted and original data.
    • The trained model was then used to directly retrieve unknown plaintexts from new CGH ciphertexts without requiring explicit optical encryption keys.

    Main Results:

    • The proposed learning-based attack successfully demonstrated the vulnerability of CGH-based optical security systems.
    • Unknown plaintexts were directly retrieved from phase-only masks (ciphertexts) using the trained learning model, bypassing the need for security keys.
    • The attack proved effective even for CGH-based optical security systems employing multiple cascaded phase-only masks.

    Conclusions:

    • CGH-based optical encryption systems, as previously implemented, are vulnerable to sophisticated learning-based attacks.
    • The direct retrieval of plaintexts without keys highlights a critical security gap in current CGH optical encryption methodologies.
    • This research opens new avenues for the cryptoanalysis of optical encryption and emphasizes the need for enhanced security measures.