Improving Quantization for Channel Reciprocity based Key Generation
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
Originalsprache | Englisch |
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Titel | 2018 IEEE 43rd Conference on Local Computer Networks (LCN) |
Herausgeber (Verlag) | IEEE TechRxiv |
Seiten | 545-552 |
Seitenumfang | 8 |
ISBN (Print) | 978-1-5386-4414-0 |
Publikationsstatus | Veröffentlicht - 4 Okt. 2018 |
Peer-Review-Status | Ja |
Konferenz
Titel | 2018 IEEE 43rd Conference on Local Computer Networks (LCN) |
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Dauer | 1 - 4 Oktober 2018 |
Ort | Chicago, IL, USA |
Externe IDs
Scopus | 85062861724 |
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Schlagworte
Schlagwörter
- Quantization (signal), Channel estimation, Entropy, Protocols, Hardware, Transforms, Conferences