Modelling and Information Fusion in Digital Identify Management Systems

Phiri, J; Agbinya, JI

Modelling and Information Fusion in Digital Identify Management Systems

Phiri, J Agbinya, JI

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Publisher:: IEEE Computer Society
Publication Type:: Conference Proceeding
Citation:: Proceedings of International Conference on Networking, 2006, pp. 181 - 196
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Phiri, J	en_US
dc.contributor.author	Agbinya, JI	en_US
dc.contributor.editor	Lorent, P	en_US
dc.contributor.editor	Dinic, P	en_US
dc.contributor.editor	Magori, D	en_US
dc.contributor.editor	Mellouk, A	en_US
dc.date	2006-04-23	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Proceedings of International Conference on Networking, 2006, pp. 181 - 196	en_US
dc.identifier.isbn	0-7695-2552-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2913
dc.description.abstract	The increase in the number of users accessing online services using communication devices such as computers, mobile phone and cards such credit cards has prompted most governments and business organizations to change the way they do business and manage their identity information. However Internet users are vulnerable to identity fraud, which is on the increase and costing the global industry excessive amounts. In this paper we propose Digital Identity Management System (DIMS) as a solution for managing digital identity information. The system proposed uses technologies like artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable and efficient way. DIMS in this paper will use Multimodal Authentication (MA). MA will be implemented using a technique of information fusion with artificial neural networks to combine the user credentials for optimum recognition of a user.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartof	Proceedings of International Conference on Networking	en_US
dc.relation.ispartof	International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06)	en_US
dc.relation.isbasedon	10.1109/ICNICONSMCL.2006.152	en_US
dc.rights	© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Modelling and Information Fusion in Digital Identify Management Systems	en_US
dc.type	Conference Proceeding
utslib.location	IEEE Xplore (Online)	en_US
utslib.location.activity	Mauritius	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Mauritius	en_US
pubs.embargo.period	Not known	en_US
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 Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	IEEE Xplore (Online)	en_US
pubs.start-date	2006-04-23	en_US

Abstract:

The increase in the number of users accessing online services using communication devices such as computers, mobile phone and cards such credit cards has prompted most governments and business organizations to change the way they do business and manage their identity information. However Internet users are vulnerable to identity fraud, which is on the increase and costing the global industry excessive amounts. In this paper we propose Digital Identity Management System (DIMS) as a solution for managing digital identity information. The system proposed uses technologies like artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable and efficient way. DIMS in this paper will use Multimodal Authentication (MA). MA will be implemented using a technique of information fusion with artificial neural networks to combine the user credentials for optimum recognition of a user.

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http://hdl.handle.net/10453/2913