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Authors: Tarik Guelzim and Mohammad S. Obaidat

Affiliation: Monmouth University, United States

Keyword(s): Keyword:Security of WLANs, Authentication, Distance, Proximity, Neural Networks, Performance Evaluation.

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Wireless Network Security

Abstract: The IEEE 802.11 standard is considered one of the most popular and profitable network topology in use today. As with the growth of every other technology, the scalability of Wireless Local Area Networks (WLANs) comes with the burden of ensuring the integrity, confidentiality and trust in the network. By integrity we need to develop a mechanism by which only authorized users can gain access to the network resources. Confidentiality implies that every data transmitted by each user stays known only to the communication parties. The above two characteristics can then enforce a trust environment in which all wireless nodes and users are authorized and secure. In this paper, we propose a scheme to authenticate and authorize 802.11 wireless nodes within a network. Our proposed scheme relies on neural networks decision engine that restricts network access to mobile nodes whose physical location is within a threshold distance from the wireless access point or the controller of the network. We present a detailed description of the work done as well as a performance analysis of this scheme. (More)

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Paper citation in several formats:
Guelzim, T. and S. Obaidat, M. (2008). NOVEL NEUROCOMPUTING-BASED SCHEME TO AUTHENTICATE WLAN USERS EMPLOYING DISTANCE PROXIMITY THRESHOLD. In Proceedings of the International Conference on Security and Cryptography (ICETE 2008) - SECRYPT; ISBN 978-989-8111-59-3; ISSN 2184-3236, SciTePress, pages 145-153. DOI: 10.5220/0001929901450153

@conference{secrypt08,
author={Tarik Guelzim. and Mohammad {S. Obaidat}.},
title={NOVEL NEUROCOMPUTING-BASED SCHEME TO AUTHENTICATE WLAN USERS EMPLOYING DISTANCE PROXIMITY THRESHOLD},
booktitle={Proceedings of the International Conference on Security and Cryptography (ICETE 2008) - SECRYPT},
year={2008},
pages={145-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001929901450153},
isbn={978-989-8111-59-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the International Conference on Security and Cryptography (ICETE 2008) - SECRYPT
TI - NOVEL NEUROCOMPUTING-BASED SCHEME TO AUTHENTICATE WLAN USERS EMPLOYING DISTANCE PROXIMITY THRESHOLD
SN - 978-989-8111-59-3
IS - 2184-3236
AU - Guelzim, T.
AU - S. Obaidat, M.
PY - 2008
SP - 145
EP - 153
DO - 10.5220/0001929901450153
PB - SciTePress

- Science and Technology Publications, Lda.
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