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InfoResearchPeer-reviewed
Photonic Extreme Learning Machine‐Based Neural Cryptosystem for Error‐Free Secure Data Delivery
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Summary
Researchers propose a photonic neural cryptosystem that uses optical scattering as the random projection of an Extreme Learning Machine to encrypt data. The architecture reports a 100% Decryption Success Rate, ciphertexts above 7 bits of entropy, and physical keys above 96.9 megabits, while resisting chosen-plaintext, known-plaintext and model-extraction attacks. It uses about 0.76 M parameters with 0.67 ms inference latency. The work appeared in Laser & Photonics Review on 2026-10-09.