Improving Quantization for Channel Reciprocity based Key Generation
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-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 language | English |
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Title of host publication | 2018 IEEE 43rd Conference on Local Computer Networks (LCN) |
Publisher | IEEE TechRxiv |
Pages | 545-552 |
Number of pages | 8 |
ISBN (print) | 978-1-5386-4414-0 |
Publication status | Published - 4 Oct 2018 |
Peer-reviewed | Yes |
Conference
Title | 2018 IEEE 43rd Conference on Local Computer Networks (LCN) |
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Duration | 1 - 4 October 2018 |
Location | Chicago, IL, USA |
External IDs
Scopus | 85062861724 |
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Keywords
Keywords
- Quantization (signal), Channel estimation, Entropy, Protocols, Hardware, Transforms, Conferences