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Asia Communications and Photonics Conference

Secure QAM Transmission using Private Synchronous Chaotic Phase Scrambling/Descrambling

Congcong Chang, Ning Jiang, Ruiqi Sun, Fan Luo

Published Jan 1, 2020• 0 citations
Publisher

Abstract

We propose a physical-layer secure optical communication scheme by applying private synchronous chaotic phase scrambling/descrambling into QAM messages, and numerically demonstrate an exemplary 40Gbit/s 16QAM secure transmission over 80km for the feasibility confirmation.
DOI
10.1364/acpc.2020.m4a.262

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In this paper, we propose a novel physical layer security optical transmission scheme utilizing randomized quantization noise. The proposed approach encrypts low-order plaintext signals into ultra-high-order ciphertext using principles similar to quantum noise stream cipher (QNSC). While, the ultra-dense quadrature amplitude modulation (QAM) ciphertext waveforms are masked by intrinsic quantization noise. The combination of digital delta-sigma quantization and analog chaotic random scrambling not only produces randomized quantization noise, but also naturally supports one-time processing of masking ciphertext and generating keystream. Whereby, the in-band quantization noise (IBN) conceals nearby ciphertext levels bolstering security, and the out-of-band quantization noise (OOBN) is digitized to generate keystream using the Toeplitz hashing extractor. Experimental results show that 256-QAM plaintext signals were securely transmitted over standard single-mode fiber: 163-Gbps signals over 400 km, and 79.7-Gbps signals over 1800 km. To evaluate system performance, theoretical models for signal-to-noise ratio (SNR), bit error rate (BER), and number of masked signals (NMS) are derived as functions of the oversampling ratio (OSR). Our findings reveal a trade-off between transmission performance and security performance. Our results confirm that this scrambling effectively eliminates the correlation between the masking noise components. Toeplitz hashing extractor can effectively reduce the complexity of keystream generation and obtain a source-independent random keystream.