arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.08586physics.opticseess.SP
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0.75基于模移键控的Gbit/s高速经典密钥分配Fabry-Perot激光器混沌同步

0.75 Gbit/s high-speed classical key distribution with mode-shift keying chaos synchronization of Fabry-Perot lasers

Hua Gao, Anbang Wang, Longsheng Wang, Zhiwei Jia, Yuanyuan Guo, Zhensen Gao, Lianshan Yan, Yuwen Qin, Yuncai Wang

摘要:

高速物理密钥分配是安全通信的追求。在本文中,我们提出并实验证明了一种方案的高速密钥分配使用两个多纵模Fabry-Perot激光器之间的超辐射发光二极管驱动的模移键控混沌同步。合法用户根据私有控制码动态选择其中一个纵模,实现模移键控混沌同步。对两个远程混沌光波形进行量化,生成两个原始随机比特流,通过比较控制码,筛选出与混沌同步相对应的比特作为共享密钥。在该方法中,过渡时间,即,混沌同步恢复时间由控制码的上升时间决定,而不是由激光跃迁响应时间决定,从而大大提高了密钥分配率。在160 km的光纤传输中,经过色散补偿后,密钥分配速率达到0.75 Gbit/s,误码率为3.8 × 10-3。激光混沌的熵率估计为16 Gbit/s,这决定了最终的密钥生成率和最终的密钥速率。因此,认为该方法为Gbit/s物理密钥分发提供了一种方法。

英文摘要:

High-speed physical key distribution is diligently pursued for secure communication. In this paper, we propose and experimentally demonstrate a scheme of high-speed key distribution using mode-shift keying chaos synchronization between two multi-longitudinal-mode Fabry-Perot lasers commonly driven by a super-luminescent diode. Legitimate users dynamically select one of the longitudinal modes according to private control codes to achieve mode-shift keying chaos synchronization. The two remote chaotic light waveforms are quantized to generate two raw random bit streams, and then those bits corresponding to chaos synchronization are sifted as shared keys by comparing the control codes. In this method, the transition time, i.e., the chaos synchronization recovery time is determined by the rising time of the control codes rather than the laser transition response time, so the key distribution rate is improved greatly. Our experiment achieved 0.75-Gbit/s key distribution rate with a bit error rate of 3.8*10-3 over 160-km fiber transmission with dispersion compensation. The entropy rate of the laser chaos is evaluated as 16 Gbit/s, which determines the ultimate final key rate together with key generation ratio. It is therefore believed that the method pays a way for Gbit/s physical key distribution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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