Simple authentication scheme for Personal Digital Assistants using the Hidden Markov Model toolkit

Ho, Chiung Ching and Eswaran, C. (2007) Simple authentication scheme for Personal Digital Assistants using the Hidden Markov Model toolkit. In: International Conference on Intelligent and Advanced Systems, 2007. ICIAS 2007. IEEE, 215 -218. ISBN 978-1-4244-1355-3

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Abstract

Personal digital assistants (PDA) are becoming increasingly important as a business tool. A modern day PDA is loaded with various business application ranging from office related software (word processors, spreadsheets & presentation software) , personal information manager (organizers, contact information managers, calendars) as well as communication software(web browsers, email clients, instant messaging software). These applications facilitate the management, transformation and presentation of information even as the user is constantly on the move. A PDA is also used to store confidential information that is vital for a businesspsila competitiveness. At the same time, a PDApsilas small size and ability to connect to remote devices and services (Internet in this case) allows it to be carried with a person constantly. This combination of practical utility, business information confidentiality and mobility unfortunately makes the PDA a target of theft or being more prone to being misplaced As such, it is of vital importance that a PDA is secured from unauthorized access. This paper will present a simple authentication scheme for a PDA based on the hidden Markov model toolkit (HTK). In this scheme, authentication is done on the userpsilas uttered speech in combination with a known password. The speech signal is recognized using HTK and compared to the known password.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 19 Nov 2013 04:44
Last Modified: 19 Nov 2013 04:44
URI: http://shdl.mmu.edu.my/id/eprint/4424

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