Passive Classification of Wireless NICs during Rate Switching

<p>Abstract</p> <p>Computer networks have become increasingly ubiquitous. However, with the increase in networked applications, there has also been an increase in difficulty to manage and secure these networks. The proliferation of 802.11 wireless networks has heightened this probl...

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Main Authors: Beyah RaheemA, Copeland JohnA, Corbett CheritaL
Format: Article
Language:English
Published: SpringerOpen 2008-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2008/495070
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spelling doaj-1f250cd481e040c2a2acc0a192a2a47b2020-11-24T23:56:00ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992008-01-0120081495070Passive Classification of Wireless NICs during Rate SwitchingBeyah RaheemACopeland JohnACorbett CheritaL<p>Abstract</p> <p>Computer networks have become increasingly ubiquitous. However, with the increase in networked applications, there has also been an increase in difficulty to manage and secure these networks. The proliferation of 802.11 wireless networks has heightened this problem by extending networks beyond physical boundaries. We propose the use of spectral analysis to identify the type of wireless network interface card (NIC). This mechanism can be applied to support the detection of unauthorized systems that use NICs which are different from that of a legitimate system. We focus on rate switching, a vaguely specified mechanism required by the 802.11 standard that is implemented in the hardware and software of the wireless NIC. We show that the implementation of this function influences the transmission patterns of a wireless stream, which are observable through traffic analysis. Our mechanism for NIC identification uses signal processing to analyze the periodicity embedded in the wireless traffic caused by rate switching. A stable spectral profile is created from the periodic components of the traffic and used for the identity of the wireless NIC. We show that we can distinguish between NICs manufactured by different vendors and NICs manufactured by the same vendor using their spectral profiles.</p>http://jwcn.eurasipjournals.com/content/2008/495070
collection DOAJ
language English
format Article
sources DOAJ
author Beyah RaheemA
Copeland JohnA
Corbett CheritaL
spellingShingle Beyah RaheemA
Copeland JohnA
Corbett CheritaL
Passive Classification of Wireless NICs during Rate Switching
EURASIP Journal on Wireless Communications and Networking
author_facet Beyah RaheemA
Copeland JohnA
Corbett CheritaL
author_sort Beyah RaheemA
title Passive Classification of Wireless NICs during Rate Switching
title_short Passive Classification of Wireless NICs during Rate Switching
title_full Passive Classification of Wireless NICs during Rate Switching
title_fullStr Passive Classification of Wireless NICs during Rate Switching
title_full_unstemmed Passive Classification of Wireless NICs during Rate Switching
title_sort passive classification of wireless nics during rate switching
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2008-01-01
description <p>Abstract</p> <p>Computer networks have become increasingly ubiquitous. However, with the increase in networked applications, there has also been an increase in difficulty to manage and secure these networks. The proliferation of 802.11 wireless networks has heightened this problem by extending networks beyond physical boundaries. We propose the use of spectral analysis to identify the type of wireless network interface card (NIC). This mechanism can be applied to support the detection of unauthorized systems that use NICs which are different from that of a legitimate system. We focus on rate switching, a vaguely specified mechanism required by the 802.11 standard that is implemented in the hardware and software of the wireless NIC. We show that the implementation of this function influences the transmission patterns of a wireless stream, which are observable through traffic analysis. Our mechanism for NIC identification uses signal processing to analyze the periodicity embedded in the wireless traffic caused by rate switching. A stable spectral profile is created from the periodic components of the traffic and used for the identity of the wireless NIC. We show that we can distinguish between NICs manufactured by different vendors and NICs manufactured by the same vendor using their spectral profiles.</p>
url http://jwcn.eurasipjournals.com/content/2008/495070
work_keys_str_mv AT beyahraheema passiveclassificationofwirelessnicsduringrateswitching
AT copelandjohna passiveclassificationofwirelessnicsduringrateswitching
AT corbettcherital passiveclassificationofwirelessnicsduringrateswitching
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