Self-Organized Classification of Dangers for Secure Wireless Mesh Networks

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dc.contributor.author Mohamed Mowjoon, Mahira en_US
dc.contributor.author Agbinya, Johnson en_US
dc.contributor.author Chaczko, Zenon en_US
dc.contributor.author Chiang, Frank en_US
dc.contributor.editor Mahira Atham Lebbe en_US
dc.date.accessioned 2009-11-09T05:37:14Z
dc.date.available 2009-11-09T05:37:14Z
dc.date.issued 2007 en_US
dc.identifier 2007001988 en_US
dc.identifier.citation Mohamed Mowjoon Mahira et al. 2007, 'Self-Organized Classification of Dangers for Secure Wireless Mesh Networks', IEEE, Christchurch, New Zealand, pp. 1-6. en_US
dc.identifier.issn 1-4244-1557-8 en_US
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. en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ATNAC.2007.4665308 en_US
dc.title Self-Organized Classification of Dangers for Secure Wireless Mesh Networks en_US
dc.parent Australasian Telecommunication Networks and Applications Conference 2007 en_US
dc.journal.volume en_US
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.location Christchurch, New Zealand en_US
dc.for 080100 en_US
dc.personcode 999330 en_US
dc.personcode 030858 en_US
dc.personcode 011197 en_US
dc.personcode 0000024901 en_US
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.location.activity Christchurch, New Zealand en_US


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