WND-Identifier: Automated and Efficient Identification of Wireless Network Devices

The widespread application of wireless communication technology brings great convenience to people, but security and privacy problems also arise. To assess and guarantee the security of wireless networks and user devices, discovering and identifying wireless devices become a foremost task. Currently...

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Autores principales:	Fangzhou Zhu, Liang Liu, Simin Hu, Ting Lv, Renjun Ye
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/8e8fca6fe28d45a1a60cd8357f46090c
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spelling	oai:doaj.org-article:8e8fca6fe28d45a1a60cd8357f46090c2021-11-29T00:56:14ZWND-Identifier: Automated and Efficient Identification of Wireless Network Devices1939-012210.1155/2021/9069123https://doaj.org/article/8e8fca6fe28d45a1a60cd8357f46090c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9069123https://doaj.org/toc/1939-0122The widespread application of wireless communication technology brings great convenience to people, but security and privacy problems also arise. To assess and guarantee the security of wireless networks and user devices, discovering and identifying wireless devices become a foremost task. Currently, effective device identification is still a challenging issue, as device fingerprinting requires huge training datasets and is difficult to expand, and rule-based identification is not accurate and reliable enough. In this paper, we propose WND-Identifier, a universal and extensible framework for the identification of wireless devices, which can generate high-precision device labels (vendor, type, and product model) efficiently without user interaction. We first introduce the concept of device-info-related network protocols. WND-Identifier makes full use of the natural language features in such protocol messages and combines with the device description in the welcome page, thereby utilizing extraction rules to generate concrete device labels. Considering that the device information in the protocol messages may be incomplete or forged, we further take advantage of the application logic independence and stability of the device-info-related protocol, so as to build a multiprotocol text classification model, which maps the device to a known label. We conduct experiments in homes and public networks and present three application scenarios to verify the effectiveness of WND-Identifier.Fangzhou ZhuLiang LiuSimin HuTing LvRenjun YeHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Fangzhou Zhu Liang Liu Simin Hu Ting Lv Renjun Ye WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
description	The widespread application of wireless communication technology brings great convenience to people, but security and privacy problems also arise. To assess and guarantee the security of wireless networks and user devices, discovering and identifying wireless devices become a foremost task. Currently, effective device identification is still a challenging issue, as device fingerprinting requires huge training datasets and is difficult to expand, and rule-based identification is not accurate and reliable enough. In this paper, we propose WND-Identifier, a universal and extensible framework for the identification of wireless devices, which can generate high-precision device labels (vendor, type, and product model) efficiently without user interaction. We first introduce the concept of device-info-related network protocols. WND-Identifier makes full use of the natural language features in such protocol messages and combines with the device description in the welcome page, thereby utilizing extraction rules to generate concrete device labels. Considering that the device information in the protocol messages may be incomplete or forged, we further take advantage of the application logic independence and stability of the device-info-related protocol, so as to build a multiprotocol text classification model, which maps the device to a known label. We conduct experiments in homes and public networks and present three application scenarios to verify the effectiveness of WND-Identifier.
format	article
author	Fangzhou Zhu Liang Liu Simin Hu Ting Lv Renjun Ye
author_facet	Fangzhou Zhu Liang Liu Simin Hu Ting Lv Renjun Ye
author_sort	Fangzhou Zhu
title	WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
title_short	WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
title_full	WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
title_fullStr	WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
title_full_unstemmed	WND-Identifier: Automated and Efficient Identification of Wireless Network Devices
title_sort	wnd-identifier: automated and efficient identification of wireless network devices
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/8e8fca6fe28d45a1a60cd8357f46090c
work_keys_str_mv	AT fangzhouzhu wndidentifierautomatedandefficientidentificationofwirelessnetworkdevices AT liangliu wndidentifierautomatedandefficientidentificationofwirelessnetworkdevices AT siminhu wndidentifierautomatedandefficientidentificationofwirelessnetworkdevices AT tinglv wndidentifierautomatedandefficientidentificationofwirelessnetworkdevices AT renjunye wndidentifierautomatedandefficientidentificationofwirelessnetworkdevices
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WND-Identifier: Automated and Efficient Identification of Wireless Network Devices

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