A framework assessing the effect of user emotions on touch gesture behavioural biometric authentication
Smartphone security constitutes a necessary requirement due to the sensitive information they contain and the important tasks they perform. Behavioral biometric technology such as touch gesture authentication is being increasingly researched covering a wide range of privacy and security systems...
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| Main Authors: | , |
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| 格式: | Conference or Workshop Item |
| 語言: | English English |
| 出版: |
IEEE
2020
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| 主題: | |
| 在線閱讀: | http://irep.iium.edu.my/80937/7/80937%20A%20Framework%20Assessing%20the%20Effect%20of%20User.pdf http://irep.iium.edu.my/80937/13/80937_A%20framework%20assessing%20the%20effect%20of%20user_scopus.pdf http://irep.iium.edu.my/80937/ https://ieeexplore.ieee.org/document/9117399 |
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| 總結: | Smartphone security constitutes a necessary
requirement due to the sensitive information they contain and
the important tasks they perform. Behavioral biometric
technology such as touch gesture authentication is being
increasingly researched covering a wide range of privacy and
security systems. However, several behavior factors such as
emotions and their influence on touch gesture user
authentication performance has remained unaddressed. In this
paper, we examine the effect of emotions on user behavior that
in turn influences the performance of the touch gesture
authentication system. To achieve this, we have designed an
implicit touch gesture behavioral biometric authentication
approach and suitable experiment procedures that will allow us
to collect data in different user emotion states (emotional and
natural) and conduct a comparative experiment for examining
the influence of emotion factor. Android application has been
developed to collect data from user input on touchscreen
smartphones. The different emotion user data will be induced
using film clips emotion elicitation method and categorized
based on the discrete emotion dimension. |
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