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DOI: 10.14569/IJARAI.2015.040711
PDF

Cogntive Consistency Analysis in Adaptive Bio-Metric Authentication System Design

Author 1: Gahangir Hossain
Author 2: Habibah Khan
Author 3: Md.Iqbal Hossain

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 7, 2015.

  • Abstract and Keywords
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Abstract: Cognitive consistency analysis aims to continuously monitor one's perception equilibrium towards successful accomplishment of cognitive task. Opposite to cognitive flexibility analysis – cognitive consistency analysis identifies monotone of perception towards successful interaction process (e.g., biometric authentication) and useful in generation of decision support to assist one in need. This study consider fingertip dynamics (e.g., keystroke, tapping, clicking etc.) to have insights on instantaneous cognitive states and its effects in monotonic advancement towards successful authentication process. Keystroke dynamics and tapping dynamics are analyzed based on response time data. Finally, cognitive consistency and confusion (inconsistency) are computed with Maximal Information Coefficient (MIC) and Maximal Asymmetry Score (MAS), respectively. Our preliminary study indicates that a balance between cognitive consistency and flexibility are needed in successful authentication process. Moreover, adaptive and cognitive interaction system requires in depth analysis of user’s cognitive consistency to provide a robust and useful assistance.

Keywords: Cognitive authentication; Cognitive consistency; Fingertip dynamics; Maximal Information Coefficient; Bivatiate plot

Gahangir Hossain, Habibah Khan and Md.Iqbal Hossain, “Cogntive Consistency Analysis in Adaptive Bio-Metric Authentication System Design” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(7), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040711

@article{Hossain2015,
title = {Cogntive Consistency Analysis in Adaptive Bio-Metric Authentication System Design},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040711},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040711},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Gahangir Hossain and Habibah Khan and Md.Iqbal Hossain}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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