Improving Quantization for Channel Reciprocity based Key Generation

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
Titel2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Herausgeber (Verlag)IEEE TechRxiv
Seiten545-552
Seitenumfang8
ISBN (Print)978-1-5386-4414-0
PublikationsstatusVeröffentlicht - 4 Okt. 2018
Peer-Review-StatusJa

Konferenz

Titel43rd IEEE Conference on Local Computer Networks
KurztitelLCN 2018
Veranstaltungsnummer43
Dauer1 - 4 Oktober 2018
Webseite
OrtEmbassy Suites by Hilton Chicago Downtown Magnificent Mile
StadtChicago
LandUSA/Vereinigte Staaten

Externe IDs

Scopus 85062861724

Schlagworte

Schlagwörter

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