Self-Organized Classification of Dangers for Secure Wireless Mesh Networks

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dc.contributor.author Mohamed Mowjoon, D
dc.contributor.author Agbinya, JI
dc.contributor.author Chaczko, ZC
dc.contributor.author Chiang, F
dc.contributor.editor Lebbe, MA
dc.date.accessioned 2009-11-09T05:37:14Z
dc.date.issued 2007-01
dc.identifier.citation Australasian Telecommunication Networks and Applications Conference 2007, 2007, pp. 1 - 6
dc.identifier.isbn 1-4244-1557-8
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2916
dc.description.abstract This paper introduces danger theory in artificial immune system as a method of responding to danger in wireless mesh networks. It identifies the challenges in deploying Wireless Mesh networks (WMNs) and focus on secure routing as one of the key challenges in deploying WMNs. In order to implement a secure routing system, various Artificial Immune System (AIS) models were analysed. These models have been used in Intrusion Detection System (IDS) and computer security in the literature. In this paper, the authors propose to use Danger models to secure routing in WMNs. The first step in secure routing process is to identify and classify the network dangers and take necessary actions to overcome those dangers. For the classification task, we apply Self-organizing Maps (SOMs) as the classifier to classify the danger levels in WMNs. These identified danger conditions are further deployed as the warning signals for the design of secure routing protocol. The experimental results validate the proposal of applying the Danger Theory (DT) into security area and good performance is also reported by the use of Artificial Neural Network (ANN) classifier.
dc.publisher IEEE
dc.relation.isbasedon 10.1109/ATNAC.2007.4665308
dc.title Self-Organized Classification of Dangers for Secure Wireless Mesh Networks
dc.type Conference Proceeding
dc.parent Australasian Telecommunication Networks and Applications Conference 2007
dc.journal.number en_US
dc.publocation Christchurch, New Zealand en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 6 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference Australian Telecommunication Networks and Applications Conference
dc.conference.location Christchurch, New Zealand en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 030858
dc.personcode 011197
dc.personcode 999330
dc.percentage 100 en_US
dc.classification.name Distributed Computing en_US
dc.classification.type FOR-08 en_US
dc.custom Australian Telecommunication Networks and Applications Conference en_US
dc.date.activity 20071202 en_US
dc.date.activity 2007-12-02
dc.location.activity Christchurch, New Zealand en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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