Security verification of artificial neural networks used to error correction in quantum cryptography

被引：0
|
作者：
Niemiec, Marcin [1 ]
Mehic, Miralem [1 ,2 ]
Voznak, Miroslav [1 ]
机构：
[1] VSB Tech Univ Ostrava, 17 Listopadu 2172-15, Ostrava 70833, Czech Republic
[2] Univ Sarajevo, Fac Elect Engn, Dept Telecommun, Sarajevo, Bosnia & Herceg
来源：
2018 26TH TELECOMMUNICATIONS FORUM (TELFOR) | 2018年
关键词：
artificial neural networks; error correction; machine learning; quantum cryptography; security verification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Error correction in quantum cryptography based on artificial neural networks is a new and promising solution. In this paper the security verification of this method is discussed and results of many simulations with different parameters are presented. The test scenarios assumed partially synchronized neural networks, typical for error rates in quantum cryptography. The results were also compared with scenarios based on the neural networks with random chosen weights to show the difficulty of passive attacks.
引用
收藏
页码：191 / 194
页数：4
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