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机构地区:[1]解放军信息工程大学河南省信息安全重点实验室,郑州450001
出 处:《计算机应用研究》2015年第1期236-238,共3页Application Research of Computers
基 金:国家重大科技专项资助项目(2012ZX0102700K)
摘 要:为了提高Cascade协议的纠错效率,提出了一种新的基于贝叶斯决策理论和泊松随机过程的动态调整初始化分块大小的策略。该方法引入误码率模型的概念,根据误码率随时间变化快慢的特点及其分布规律,构建了三种不同的误码率模型。实验结果表明,根据误码率模型动态调整Cascade协议初始分块大小,有效减少了信息泄露,显著提高了纠错的效率,对于QKD效率的提高有重要意义。To boost the efficiency of the Cascade protocol, this paper proposed a new strategy based on Bayesian decision the- ory and Poisson stochastic process which adjusted the initial block-size dynamic. The new method was based on the novel no- tion of the error rate model. It studied error rate model features, which were its distribution rules and its varying speed, and introduced three error rate models. The experiments show that due to dynamic adjusting the initial block-size of the Cascade protocol based on error rate models, the number of bits revealed to the adversary is reduced and it significantly increases the efficiency of the error correction. This leads to a considerable improvement of the QKD' s efficiency.
关 键 词:量子密钥分配 Cascade协议 误码率模型 初始化分块 贝叶斯决策理论
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构]
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