Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information

Wi-Fi device authentication is crucial for defending against impersonation attacks and information forgery attacks. Most of the existing authentication technologies rely on complex cryptographic algorithms. However, they cannot be supported well on the devices with limited hardware resources. A fine...

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Autores principales: Yubo Song, Bing Chen, Tianqi Wu, Tianyu Zheng, Hongyuan Chen, Junbo Wang
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/537b950e861b40b4879152be37214d87
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spelling oai:doaj.org-article:537b950e861b40b4879152be37214d872021-11-29T00:55:40ZEnhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information1530-867710.1155/2021/2993019https://doaj.org/article/537b950e861b40b4879152be37214d872021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2993019https://doaj.org/toc/1530-8677Wi-Fi device authentication is crucial for defending against impersonation attacks and information forgery attacks. Most of the existing authentication technologies rely on complex cryptographic algorithms. However, they cannot be supported well on the devices with limited hardware resources. A fine-grained device authentication technology based on channel state information (CSI) provides a noncryptographic method, which uses the CSI fingerprints for authentication since CSI can uniquely identify the devices. But long-term authentication based on CSI fingerprints is a challenging work. First, the CSI fingerprints are environment-sensitive, which means that the local authenticator should be updated to adapt to the changing channel state. Second, the local authenticator trained with old CSI fingerprints is outdated when users reconnect to the network after being offline for a long time, thus, it needs to be retrained in the access phase with new fingerprints. To tackle these challenges, we propose a CSI-based enhancing Wi-Fi device authentication protocol and an authentication framework. The protocol helps to collect new CSI fingerprints for authenticator’s training in access phase and performs the fingerprints’ dispersion analysis for authentication. In the association phase, it provides packet-level authentication and updates the authenticator with valid CSI fingerprints. The authenticator consists of an ensemble of small-scale autoencoders, which has high enough time efficiency for packet-level authentication and authenticator’s update. Experiments show that the accuracy of the framework is up to 98.7%, and the authenticator updating method can help the framework maintains high accuracy.Yubo SongBing ChenTianqi WuTianyu ZhengHongyuan ChenJunbo WangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology
T
Telecommunication
TK5101-6720
spellingShingle Technology
T
Telecommunication
TK5101-6720
Yubo Song
Bing Chen
Tianqi Wu
Tianyu Zheng
Hongyuan Chen
Junbo Wang
Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
description Wi-Fi device authentication is crucial for defending against impersonation attacks and information forgery attacks. Most of the existing authentication technologies rely on complex cryptographic algorithms. However, they cannot be supported well on the devices with limited hardware resources. A fine-grained device authentication technology based on channel state information (CSI) provides a noncryptographic method, which uses the CSI fingerprints for authentication since CSI can uniquely identify the devices. But long-term authentication based on CSI fingerprints is a challenging work. First, the CSI fingerprints are environment-sensitive, which means that the local authenticator should be updated to adapt to the changing channel state. Second, the local authenticator trained with old CSI fingerprints is outdated when users reconnect to the network after being offline for a long time, thus, it needs to be retrained in the access phase with new fingerprints. To tackle these challenges, we propose a CSI-based enhancing Wi-Fi device authentication protocol and an authentication framework. The protocol helps to collect new CSI fingerprints for authenticator’s training in access phase and performs the fingerprints’ dispersion analysis for authentication. In the association phase, it provides packet-level authentication and updates the authenticator with valid CSI fingerprints. The authenticator consists of an ensemble of small-scale autoencoders, which has high enough time efficiency for packet-level authentication and authenticator’s update. Experiments show that the accuracy of the framework is up to 98.7%, and the authenticator updating method can help the framework maintains high accuracy.
format article
author Yubo Song
Bing Chen
Tianqi Wu
Tianyu Zheng
Hongyuan Chen
Junbo Wang
author_facet Yubo Song
Bing Chen
Tianqi Wu
Tianyu Zheng
Hongyuan Chen
Junbo Wang
author_sort Yubo Song
title Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
title_short Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
title_full Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
title_fullStr Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
title_full_unstemmed Enhancing Packet-Level Wi-Fi Device Authentication Protocol Leveraging Channel State Information
title_sort enhancing packet-level wi-fi device authentication protocol leveraging channel state information
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/537b950e861b40b4879152be37214d87
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AT tianyuzheng enhancingpacketlevelwifideviceauthenticationprotocolleveragingchannelstateinformation
AT hongyuanchen enhancingpacketlevelwifideviceauthenticationprotocolleveragingchannelstateinformation
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