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...
Main Authors: | , , , , |
---|---|
Format: | Proceeding Paper |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/1776/1/Evaluation_of_Classifiers_in_a_Pressure_and.pdf |
_version_ | 1825644236836438016 |
---|---|
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 |
collection | IIUM |
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. |
first_indexed | 2024-03-05T22:29:59Z |
format | Proceeding Paper |
id | oai:generic.eprints.org:1776 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-05T22:29:59Z |
publishDate | 2011 |
record_format | dspace |
spelling | oai:generic.eprints.org: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 Proceeding Paper 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 |
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 |
title | 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_short | 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 |
topic | T10.5 Communication of technical information |
url | http://irep.iium.edu.my/1776/1/Evaluation_of_Classifiers_in_a_Pressure_and.pdf |
work_keys_str_mv | AT moezkhanimran evaluationofclassifiersinapressureandlatencybasedtypingbiometricsystem AT imama evaluationofclassifiersinapressureandlatencybasedtypingbiometricsystem AT ushamakm evaluationofclassifiersinapressureandlatencybasedtypingbiometricsystem AT aibinuabiodunmusa evaluationofclassifiersinapressureandlatencybasedtypingbiometricsystem AT laiwengkin evaluationofclassifiersinapressureandlatencybasedtypingbiometricsystem |