采用混沌光注入实现混沌载波时延特征隐藏的研究

在混沌通信系统中,混沌载波的时延特征直接影响着通信系统的安全性,因此隐藏混沌载波的时延特征信息十分重要。本文基于外腔反馈式半导体激光器(ECSL)的单光注入结构,引入激光器参数失配,详细阐述了一种通过主从激光器参数失配来消除混沌信号时延特征的方法。利用自相关函数作为量化工具,对混沌信号的时延隐藏效果进行量化分析,数值研究了主从激光器间的参数失配对混沌信号时延消除的影响,并结合注入强度与频率失谐开展了进一步综合研究。研究结果表明:引入激光器参数失配对时延隐藏的效果影响显著,参数失配率在-0.4~0范围时有助于在从激光器混沌输出中隐藏主激光器外腔引入的反馈时延;而且,当主激光器注入强度在10ns-1~20ns-1范围内,主从激光器频率失谐控制在-20GHz附近时,信号时延隐藏效果最佳。因此,由此单混沌光注入系统产生的混沌信号可显著提高混沌载波的安全性,进而增强其潜在应用的性能。     

基于外光注入互耦合垂直腔面发射激光器的混沌随机特性研究

通过在互耦合垂直腔面发射激光器(VCSELs)系统中增加外光注入, 建立了一种基于偏振可调光反馈VCSEL驱动互耦合VCSELs混沌系统模型, 分析了增加外光驱动对互耦合激光器随机特性的影响. 以不可预测度作为随机特性的评价指标, 采用信息论中的排列熵作为相应量化工具, 对系统输出混沌信号的不可预测性进行定量分析.数值研究了光强度、时延、偏振旋转角度以及驱动激光器与耦合激光器间的频率失谐对输出信号随机特性的影响.结果表明: 外光注入能够增大互耦合VCSELs输出混沌信号的排列熵, 即外光注入能够有效提高耦合系统的随机特性; 驱动激光器可调偏振片偏转角度调节到45° 附近, 注入强度适中, 满足耦合强度大于驱动激光器自反馈强度条件, 系统输出信号的排列熵较大; 在耦合时延与驱动激光器反馈时延不相等的同时, 增加驱动激光器与耦合激光器频率失谐, 外光注入互耦合VCSELs的随机特性能够得到进一步提高.     

Improved quantum randomness amplification with finite number of untrusted devices based on a novel extractor

Quantum randomness amplification protocols have increasingly attracted attention for their fantastic ability to amplify weak randomness to almost ideal randomness by utilizing quantum systems. Recently, a realistic noise-tolerant randomness amplification protocol using a finite number of untrusted devices was proposed. The protocol has the composable security against non-signalling eavesdroppers and could produce a single bit of randomness from weak randomness sources, which is certified by the violation of certain Bell inequalities. However, the protocol has a non-ignorable limitation on the minentropy of independent sources. In this paper, we further develop the randomness amplification method and present a novel quantum randomness amplification protocol based on an explicit non-malleable two independent-source randomness extractor, which could remarkably reduce the above-mentioned specific limitation. Moreover, the composable security of our improved protocol is also proposed. Our results could significantly expand the application range for practical quantum randomness amplification, and provide a new insight on the practical design method for randomness extraction.