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Abstract
The problem of securing the communication in an IoT sensor network from malicious eavesdroppers is studied. One-time pad encryption is found to be a suitable encryption method for this type of setting, reducing the problem to the generation of secret keys to be used for the encryption. We propose a novel physical-layer security based key generation protocol where a Gaussian source derived from the wireless communicaton channel between key generating pairs is transformed into an erasure channel. The proposed method is shown to outperform other similar methods when allowing for a higher BER in the generated keys and constraining the rate of communication. We also analyze how the BER of the generated keys affects the underlying inference task of the sensor network.
Original language | English |
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Title of host publication | Asilomar Conference on Signals, Systems, and Computers proceedings |
Editors | Michael B. Matthews |
Publisher | IEEE |
Pages | 1916-1920 |
Number of pages | 5 |
ISBN (Electronic) | 9781728143002 |
DOIs | |
Publication status | Published - Nov 2019 |
MoE publication type | A4 Conference publication |
Event | Asilomar Conference on Signals, Systems & Computers - Pacific Grove, United States Duration: 3 Nov 2019 → 6 Nov 2019 |
Publication series
Name | Asilomar Conference on Signals, Systems, and Computers proceedings |
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ISSN (Electronic) | 1058-6393 |
Conference
Conference | Asilomar Conference on Signals, Systems & Computers |
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Abbreviated title | ACSSC |
Country/Territory | United States |
City | Pacific Grove |
Period | 03/11/2019 → 06/11/2019 |
Keywords
- AWGN
- distributed detection
- physical-layer security
- polar quantization
- secret key generation
Fingerprint
Dive into the research topics of 'Key Generation for Secure Distributed Detection in IoT using Polar Quantization'. Together they form a unique fingerprint.Projects
- 1 Finished
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WiFiuS: Collaborative Research: Secure Inference in the Internet of Things
Koivunen, V. (Principal investigator), Naseri, H. (Project Member), Mozafari Majd, M. (Project Member), Halme, T. (Project Member), Vesselinova, N. (Project Member) & Hentilä, H. (Project Member)
12/04/2017 → 31/12/2019
Project: Academy of Finland: Other research funding