Improving Quantization for Channel Reciprocity based Key Generation

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

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.

Details

Original languageEnglish
Title of host publication2018 IEEE 43rd Conference on Local Computer Networks (LCN)
PublisherIEEE TechRxiv
Pages545-552
Number of pages8
ISBN (print)978-1-5386-4414-0
Publication statusPublished - 4 Oct 2018
Peer-reviewedYes

Conference

Title2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Duration1 - 4 October 2018
LocationChicago, IL, USA

External IDs

Scopus 85062861724

Keywords

Keywords

  • Quantization (signal), Channel estimation, Entropy, Protocols, Hardware, Transforms, Conferences