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Large-scale scattering-augmented optical encryption

Author

Listed:
  • Liheng Bian

    (Beijing Institute of Technology
    Beijing Institute of Technology)

  • Xuyang Chang

    (Beijing Institute of Technology)

  • Shaowei Jiang

    (University of Connecticut)

  • Liming Yang

    (University of Connecticut)

  • Xinrui Zhan

    (Beijing Institute of Technology)

  • Shicong Liu

    (Beijing Institute of Technology)

  • Daoyu Li

    (Beijing Institute of Technology)

  • Rong Yan

    (Beijing Institute of Technology)

  • Zhen Gao

    (Beijing Institute of Technology)

  • Jun Zhang

    (Beijing Institute of Technology)

Abstract

Data proliferation in the digital age necessitates robust encryption techniques to protect information privacy. Optical encryption leverages the multiple degrees of freedom inherent in light waves to encode information with parallel processing and enhanced security features. However, implementations of large-scale, high-security optical encryption have largely remained theoretical or limited to digital simulations due to hardware constraints, signal-to-noise ratio challenges, and precision fabrication of encoding elements. Here, we present an optical encryption platform utilizing scattering multiplexing ptychography, simultaneously enhancing security and throughput. Unlike optical encoders which rely on computer-generated randomness, our approach leverages the inherent complexity of light scattering as a natural unclonable function. This enables multi-dimensional encoding with superior randomness. Furthermore, the ptychographic configuration expands encryption throughput beyond hardware limitations through spatial multiplexing of different scatterer regions. We propose a hybrid decryption algorithm integrating model- and data-driven strategies, ensuring robust decryption against various sources of measurement noise and communication interference. We achieved optical encryption at a scale of ten-megapixel pixels with 1.23 µm resolution. Communication experiments validate the resilience of our decryption algorithm, yielding high-fidelity results even under extreme transmission conditions characterized by a 20% bit error rate. Our encryption platform offers a holistic solution for large-scale, high-security, and cost-effective cryptography.

Suggested Citation

  • Liheng Bian & Xuyang Chang & Shaowei Jiang & Liming Yang & Xinrui Zhan & Shicong Liu & Daoyu Li & Rong Yan & Zhen Gao & Jun Zhang, 2024. "Large-scale scattering-augmented optical encryption," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54168-3
    DOI: 10.1038/s41467-024-54168-3
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    1. Yang Liu & Qi Zhao & Ming-Han Li & Jian-Yu Guan & Yanbao Zhang & Bing Bai & Weijun Zhang & Wen-Zhao Liu & Cheng Wu & Xiao Yuan & Hao Li & W. J. Munro & Zhen Wang & Lixing You & Jun Zhang & Xiongfeng M, 2018. "Device-independent quantum random-number generation," Nature, Nature, vol. 562(7728), pages 548-551, October.
    2. Sungsam Kang & Yongwoo Kwon & Hojun Lee & Seho Kim & Jin Hee Hong & Seokchan Yoon & Wonshik Choi, 2023. "Tracing multiple scattering trajectories for deep optical imaging in scattering media," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Jacopo Bertolotti & Elbert G. van Putten & Christian Blum & Ad Lagendijk & Willem L. Vos & Allard P. Mosk, 2012. "Non-invasive imaging through opaque scattering layers," Nature, Nature, vol. 491(7423), pages 232-234, November.
    4. Geyang Qu & Wenhong Yang & Qinghai Song & Yilin Liu & Cheng-Wei Qiu & Jiecai Han & Din-Ping Tsai & Shumin Xiao, 2020. "Reprogrammable meta-hologram for optical encryption," Nature Communications, Nature, vol. 11(1), pages 1-5, December.
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