User Authentication using Keystroke Dynamics
Vishesh Mishra, Raghav Gupta, Raghav Gupta and J C Patni. Article: User Authentication using Keystroke Dynamics. IJCA Proceedings on International Conference on Recent Trends in Science, Technology, Management and Social Development ICRTSTMSD 2018(1):29-33, August 2019. Full text available. BibTeX
@article{key:article,
author = {Vishesh Mishra and Raghav Gupta and Raghav Gupta and J. C. Patni},
title = {Article: User Authentication using Keystroke Dynamics},
journal = {IJCA Proceedings on International Conference on Recent Trends in Science, Technology, Management and Social Development},
year = {2019},
volume = {ICRTSTMSD 2018},
number = {1},
pages = {29-33},
month = {August},
note = {Full text available}
}
Abstract
"User Authentication Using Keystroke Dynamics". It is a method to get the user authentication on an android application by using the keystroke dynamics of the user using Artificial Neural Networks with the help of Error Back Propagation algorithm. In this application the user enters the password 30 times and databases are used to record 45 factors that describes a user's keystroke patterns like di-graph, dwell time, tri-graph, flight time, finger size, button pressure, coordinate values which can be seen by the user in real time. Once this is done the data is taken and put in an Artificial Neural Network and trained using Error back propagation Algorithm. This process done over time produces trained set off weights that would produces an already calculated value in the output layer. This data from the network is again stored in a separate table which is then used to check the authentication of the user typing the password.
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