Improving Quantization for Channel Reciprocity based Key Generation

Paul Walther, Carsten Janda, Elke Franz, Mathias Pelka, Horst Hellbrück, Thorsten Strufe, Eduard Jorswieck

Abstract

Quantization, and the fact that channel characteristics are independent and identically distributed so far have received only little attention in reports about actual implementations of physical layer key generation schemes. They are merely assumed for channel reciprocity based key generation, although the secret key generation significantly relies on them.We set out to design a quantization preprocessing as well as an online quantization scheme which favours i.i.d. and uniform distribution of the generated values to achieve high entropy and key rates, and calculate the resulting mutual information between communication partners in a large, realistic measurement study. Our experiments indicate a remarkable increase in mutual information, and underline the applicability to various quantization and key generation schemes.

Original languageEnglish
Title of host publication2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Number of pages8
Volume2018-October
PublisherIEEE
Publication date08.02.2019
Pages545-552
Article number8638248
ISBN (Print)978-1-5386-4414-0
ISBN (Electronic)978-1-5386-4413-3
DOIs
Publication statusPublished - 08.02.2019
Event43rd IEEE Conference on Local Computer Networks - Chicago, United States
Duration: 01.10.201804.10.2018
Conference number: 145085

Fingerprint

Dive into the research topics of 'Improving Quantization for Channel Reciprocity based Key Generation'. Together they form a unique fingerprint.

Cite this