Improving Quantization for Channel Reciprocity based Key Generation

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

doi:10.1109/LCN.2018.8638248

Improving Quantization for Channel Reciprocity based Key Generation

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

Institute of Telematics

13 Citations (Scopus)

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 language	English
Title of host publication	2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Number of pages	8
Volume	2018-October
Publisher	IEEE
Publication date	08.02.2019
Pages	545-552
Article number	8638248
ISBN (Print)	978-1-5386-4414-0
ISBN (Electronic)	978-1-5386-4413-3
DOIs	https://doi.org/10.1109/LCN.2018.8638248
Publication status	Published - 08.02.2019
Event	43rd IEEE Conference on Local Computer Networks - Chicago, United States Duration: 01.10.2018 → 04.10.2018 Conference number: 145085

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Walther, P., Janda, C., Franz, E., Pelka, M., Hellbrück, H., Strufe, T., & Jorswieck, E. (2019). Improving Quantization for Channel Reciprocity based Key Generation. In 2018 IEEE 43rd Conference on Local Computer Networks (LCN) (Vol. 2018-October, pp. 545-552). Article 8638248 (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2018-October). IEEE. https://doi.org/10.1109/LCN.2018.8638248

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title = "Improving Quantization for Channel Reciprocity based Key Generation",

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.",

author = "Paul Walther and Carsten Janda and Elke Franz and Mathias Pelka and Horst Hellbr{\"u}ck and Thorsten Strufe and Eduard Jorswieck",

note = "Funding Information: This work is partly supported by the German Research Foundation (DFG) through CRC 912 “HAEC”, the Cluster of Excellence cfaed and by the S{\"a}chsische AufbauBank (SAB) through cluster 3125 “SATURN”. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 43rd IEEE Conference on Local Computer Networks , LCN 2018 ; Conference date: 01-10-2018 Through 04-10-2018",

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Walther, P, Janda, C, Franz, E, Pelka, M, Hellbrück, H, Strufe, T & Jorswieck, E 2019, Improving Quantization for Channel Reciprocity based Key Generation. in 2018 IEEE 43rd Conference on Local Computer Networks (LCN). vol. 2018-October, 8638248, Proceedings - Conference on Local Computer Networks, LCN, vol. 2018-October, IEEE, pp. 545-552, 43rd IEEE Conference on Local Computer Networks , Chicago, Illinois, United States, 01.10.18. https://doi.org/10.1109/LCN.2018.8638248

Improving Quantization for Channel Reciprocity based Key Generation. / Walther, Paul; Janda, Carsten; Franz, Elke et al.
2018 IEEE 43rd Conference on Local Computer Networks (LCN). Vol. 2018-October IEEE, 2019. p. 545-552 8638248 (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2018-October).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Improving Quantization for Channel Reciprocity based Key Generation

AU - Walther, Paul

AU - Janda, Carsten

AU - Franz, Elke

AU - Pelka, Mathias

AU - Hellbrück, Horst

AU - Strufe, Thorsten

AU - Jorswieck, Eduard

N1 - Conference code: 145085

PY - 2019/2/8

Y1 - 2019/2/8

N2 - 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.

AB - 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.

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U2 - 10.1109/LCN.2018.8638248

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VL - 2018-October

T3 - Proceedings - Conference on Local Computer Networks, LCN

SP - 545

EP - 552

BT - 2018 IEEE 43rd Conference on Local Computer Networks (LCN)

PB - IEEE

T2 - 43rd IEEE Conference on Local Computer Networks

Y2 - 1 October 2018 through 4 October 2018

ER -

Improving Quantization for Channel Reciprocity based Key Generation

Abstract

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