Combining keystroke and mouse dynamics for continuous user authentication and identification

In this paper, we analyze the performance of a continuous user authentication and identification system for a PC under various analysis techniques. We applied a novel identification technique called Pairwise User Coupling (PUC) on our own dataset for the analysis. This dataset is a combination of ke...

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Bibliographic Details
Published in2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) pp. 1 - 8
Main Authors Mondal, Soumik, Bours, Patrick
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2016
Subjects
Authentication
Couplings
Feature extraction
Mice
Support vector machines
Training
Training data
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Summary:In this paper, we analyze the performance of a continuous user authentication and identification system for a PC under various analysis techniques. We applied a novel identification technique called Pairwise User Coupling (PUC) on our own dataset for the analysis. This dataset is a combination of keystroke and mouse usage behaviour data. We obtained an identification accuracy of 62.2% for a closed-set experiment, where the system needs on average of 471 actions to detect an impostor. In case of an open-set experiment the Detection and Identification Rate (DIR) of 58.9% was obtained, where the system needs on average of 333 actions to detect an impostor.
DOI:10.1109/ISBA.2016.7477228