Secure Key Generation for Distributed Inference in IoT

Henri Hentilä; Visa Koivunen; H. Vincent Poor; Rick S. Blum

doi:10.1109/CISS.2019.8692935

Secure Key Generation for Distributed Inference in IoT

Henri Hentilä, Visa Koivunen, H. Vincent Poor, Rick S. Blum

Visa Koivunen Group

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

A secret key generation scheme is proposed for generating keys to be used for one-time pad encryption. This type of encryption is suitable for e.g., short packet communication in distributed inference in IoT. The scheme exploits the phase of the channel fading coefficient in a Rayleigh fading channel to extract highly correlated key bits at two legitimate parties. Compared to other existing methods, the proposed scheme trades off higher bit error probabilities in the keys for lower error correction communication requirements. The bit error of generated keys is characterized via an approximate upper bound, which is shown to be fairly tight for reasonable signal-to-noise ratios.

Original language	English
Title of host publication	2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019
Publisher	IEEE
ISBN (Electronic)	9781728111513
DOIs	https://doi.org/10.1109/CISS.2019.8692935
Publication status	Published - 16 Apr 2019
MoE publication type	A4 Conference publication
Event	Conference on Information Sciences and Systems - Baltimore, United States Duration: 20 Mar 2019 → 22 Mar 2019 Conference number: 53

Conference

Conference	Conference on Information Sciences and Systems
Abbreviated title	CISS
Country/Territory	United States
City	Baltimore
Period	20/03/2019 → 22/03/2019

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10.1109/CISS.2019.8692935

Cite this

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title = "Secure Key Generation for Distributed Inference in IoT",

abstract = "A secret key generation scheme is proposed for generating keys to be used for one-time pad encryption. This type of encryption is suitable for e.g., short packet communication in distributed inference in IoT. The scheme exploits the phase of the channel fading coefficient in a Rayleigh fading channel to extract highly correlated key bits at two legitimate parties. Compared to other existing methods, the proposed scheme trades off higher bit error probabilities in the keys for lower error correction communication requirements. The bit error of generated keys is characterized via an approximate upper bound, which is shown to be fairly tight for reasonable signal-to-noise ratios.",

author = "Henri Hentil{\"a} and Visa Koivunen and Poor, {H. Vincent} and Blum, {Rick S.}",

year = "2019",

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doi = "10.1109/CISS.2019.8692935",

language = "English",

booktitle = "2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019",

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T1 - Secure Key Generation for Distributed Inference in IoT

AU - Hentilä, Henri

AU - Koivunen, Visa

AU - Poor, H. Vincent

AU - Blum, Rick S.

N1 - Conference code: 53

PY - 2019/4/16

Y1 - 2019/4/16

N2 - A secret key generation scheme is proposed for generating keys to be used for one-time pad encryption. This type of encryption is suitable for e.g., short packet communication in distributed inference in IoT. The scheme exploits the phase of the channel fading coefficient in a Rayleigh fading channel to extract highly correlated key bits at two legitimate parties. Compared to other existing methods, the proposed scheme trades off higher bit error probabilities in the keys for lower error correction communication requirements. The bit error of generated keys is characterized via an approximate upper bound, which is shown to be fairly tight for reasonable signal-to-noise ratios.

AB - A secret key generation scheme is proposed for generating keys to be used for one-time pad encryption. This type of encryption is suitable for e.g., short packet communication in distributed inference in IoT. The scheme exploits the phase of the channel fading coefficient in a Rayleigh fading channel to extract highly correlated key bits at two legitimate parties. Compared to other existing methods, the proposed scheme trades off higher bit error probabilities in the keys for lower error correction communication requirements. The bit error of generated keys is characterized via an approximate upper bound, which is shown to be fairly tight for reasonable signal-to-noise ratios.

UR - http://www.scopus.com/inward/record.url?scp=85065211402&partnerID=8YFLogxK

U2 - 10.1109/CISS.2019.8692935

DO - 10.1109/CISS.2019.8692935

M3 - Conference article in proceedings

AN - SCOPUS:85065211402

BT - 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

PB - IEEE

T2 - Conference on Information Sciences and Systems

Y2 - 20 March 2019 through 22 March 2019

ER -

Secure Key Generation for Distributed Inference in IoT

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WiFiuS: Collaborative Research: Secure Inference in the Internet of Things

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Secure Key Generation for Distributed Inference in IoT

Abstract

Conference

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WiFiuS: Collaborative Research: Secure Inference in the Internet of Things

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