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Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves

IoT devices are now enriching people’s life. However, the security of IoT devices seldom attracts manufacturers’ attention. There are already some solutions to the problem of connecting a smart device to a user’s wireless network based on the 802.11 transmission such as Smart Config from TI. However...

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Detalles Bibliográficos
Autores principales: Liu, Liang, Han, Zhaoyang, Fang, Liming, Ma, Zuchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386975/
https://www.ncbi.nlm.nih.gov/pubmed/30717181
http://dx.doi.org/10.3390/s19030618
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author Liu, Liang
Han, Zhaoyang
Fang, Liming
Ma, Zuchao
author_facet Liu, Liang
Han, Zhaoyang
Fang, Liming
Ma, Zuchao
author_sort Liu, Liang
collection PubMed
description IoT devices are now enriching people’s life. However, the security of IoT devices seldom attracts manufacturers’ attention. There are already some solutions to the problem of connecting a smart device to a user’s wireless network based on the 802.11 transmission such as Smart Config from TI. However, it is insecure in many situations, and it does not have a satisfactory transmission speed, which does not mean that it has a low bit rate. It usually takes a long time for the device to recognize the data it receives and decode them. In this paper, we propose a new Wi-Fi connection method based on audio waves. This method is based on MFSK (Multiple frequency-shift keying) and works well in short distance, which enables the correctness and efficiency. In addition, audio waves can hardly be eavesdropped, which provides higher security than other methods. We also put forward an encryption solution by using jamming signal, which can greatly improve the security of the transmission.
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spelling pubmed-63869752019-02-26 Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves Liu, Liang Han, Zhaoyang Fang, Liming Ma, Zuchao Sensors (Basel) Article IoT devices are now enriching people’s life. However, the security of IoT devices seldom attracts manufacturers’ attention. There are already some solutions to the problem of connecting a smart device to a user’s wireless network based on the 802.11 transmission such as Smart Config from TI. However, it is insecure in many situations, and it does not have a satisfactory transmission speed, which does not mean that it has a low bit rate. It usually takes a long time for the device to recognize the data it receives and decode them. In this paper, we propose a new Wi-Fi connection method based on audio waves. This method is based on MFSK (Multiple frequency-shift keying) and works well in short distance, which enables the correctness and efficiency. In addition, audio waves can hardly be eavesdropped, which provides higher security than other methods. We also put forward an encryption solution by using jamming signal, which can greatly improve the security of the transmission. MDPI 2019-02-01 /pmc/articles/PMC6386975/ /pubmed/30717181 http://dx.doi.org/10.3390/s19030618 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Liang
Han, Zhaoyang
Fang, Liming
Ma, Zuchao
Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title_full Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title_fullStr Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title_full_unstemmed Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title_short Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves
title_sort tell the device password: smart device wi-fi connection based on audio waves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386975/
https://www.ncbi.nlm.nih.gov/pubmed/30717181
http://dx.doi.org/10.3390/s19030618
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