Evaluation of classifiers in a pressure and latency-based typing biometric system

Evaluation of classifiers in a pressure and latency-based typing biometric system

System authentication in present time relies on validation by some sort of a password or Personal Identification Number (PIN). However, if an intruder discovers this password or PIN, the user’s account can be easily compromised. Biometric systems rely on user authentication based on some physical...

Full description

Bibliographic Details
Main Authors: Moez Khan, Imran, ., Imama, Ushama, K. M., Aibinu, Abiodun Musa, Lai, Weng Kin
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/1776/
http://irep.iium.edu.my/1776/
http://irep.iium.edu.my/1776/1/Evaluation_of_Classifiers_in_a_Pressure_and.pdf
id iium-1776
recordtype eprints
spelling iium-17762011-12-29T03:16:54Z http://irep.iium.edu.my/1776/ Evaluation of classifiers in a pressure and latency-based typing biometric system Moez Khan, Imran ., Imama Ushama, K. M. Aibinu, Abiodun Musa Lai, Weng Kin T10.5 Communication of technical information System authentication in present time relies on validation by some sort of a password or Personal Identification Number (PIN). However, if an intruder discovers this password or PIN, the user’s account can be easily compromised. Biometric systems rely on user authentication based on some physical or behavioral attribute. Typing biometrics is a behavioral biometric authentication system that seeks to identify users based on typing behavior and style, similar to the way that a signature identifies a person based on handwriting. In this paper, Microsoft’s newly prototyped Pressure Sensitive Keyboard (PSK) has been used to explore pressure and latency based typing biometrics. Statistical and neural network classifiers are used for user identification on testing samples and compared to evaluate their efficiency. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1776/1/Evaluation_of_Classifiers_in_a_Pressure_and.pdf Moez Khan, Imran and ., Imama and Ushama, K. M. and Aibinu, Abiodun Musa and Lai, Weng Kin (2011) Evaluation of classifiers in a pressure and latency-based typing biometric system. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05937136
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T10.5 Communication of technical information
spellingShingle T10.5 Communication of technical information
Moez Khan, Imran
., Imama
Ushama, K. M.
Aibinu, Abiodun Musa
Lai, Weng Kin
Evaluation of classifiers in a pressure and latency-based typing biometric system
description System authentication in present time relies on validation by some sort of a password or Personal Identification Number (PIN). However, if an intruder discovers this password or PIN, the user’s account can be easily compromised. Biometric systems rely on user authentication based on some physical or behavioral attribute. Typing biometrics is a behavioral biometric authentication system that seeks to identify users based on typing behavior and style, similar to the way that a signature identifies a person based on handwriting. In this paper, Microsoft’s newly prototyped Pressure Sensitive Keyboard (PSK) has been used to explore pressure and latency based typing biometrics. Statistical and neural network classifiers are used for user identification on testing samples and compared to evaluate their efficiency.
format Conference or Workshop Item
author Moez Khan, Imran
., Imama
Ushama, K. M.
Aibinu, Abiodun Musa
Lai, Weng Kin
author_facet Moez Khan, Imran
., Imama
Ushama, K. M.
Aibinu, Abiodun Musa
Lai, Weng Kin
author_sort Moez Khan, Imran
title Evaluation of classifiers in a pressure and latency-based typing biometric system
title_short Evaluation of classifiers in a pressure and latency-based typing biometric system
title_full Evaluation of classifiers in a pressure and latency-based typing biometric system
title_fullStr Evaluation of classifiers in a pressure and latency-based typing biometric system
title_full_unstemmed Evaluation of classifiers in a pressure and latency-based typing biometric system
title_sort evaluation of classifiers in a pressure and latency-based typing biometric system
publishDate 2011
url http://irep.iium.edu.my/1776/
http://irep.iium.edu.my/1776/
http://irep.iium.edu.my/1776/1/Evaluation_of_Classifiers_in_a_Pressure_and.pdf
first_indexed 2023-09-18T20:09:17Z
last_indexed 2023-09-18T20:09:17Z
_version_ 1777407368533901312

Similar Items