The Channel Quantization Alternating Algorithm in the Secret Key Generation System

DOI

10.2991/mecae-17.2017.36How to use a DOI?

Keywords

CQA Algorithm, Offset, Log Likelihood Ratio, Quantization Subinterval.

Abstract

In order to solve the problem that the high bit inconsistent rate between the two parties in the legal communication affects the key length , an improved CQA algorithm that calculating the log likelihood ratio that each bit is '0' or '1' after quantization sample value is proposed. Suppose both parties are Alice and Bob. The algorithm uses Alice's position index and Bob's sampling value to compute the conditional probabilities that each bit is '0' or '1' after quantize Alice's corresponding sample value. The probability log likelihood ratio is then calculated and the hard decision of the log likelihood ratio is used as the quantization result without having to quantize the sampled values by moving the quantization threshold. The simulation results show that the initial inconsistent rate of the improved algorithm is lower than that of the original quantization algorithm and the generated key is longer. When the number of quantization intervals is equal and the correlation coefficient between random variables is less than 0.87, the key length generated by the improved algorithm is increased by at least 0.15bits/symbol; When the number of quantization subintervals of the improved algorithm is 1/2 of the original algorithm and the correlation coefficient is less than 0.83, the key length generated by the improved algorithm is increased by at least 0.1bits/symbol.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fuxing Guo
AU  - Dapeng Yu
AU  - Gang Xin
PY  - 2017/03
DA  - 2017/03
TI  - The Channel Quantization Alternating Algorithm in the Secret Key Generation System
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 189
EP  - 195
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.36
DO  - 10.2991/mecae-17.2017.36
ID  - Guo2017/03
ER  -