Abstract
The major problem in the computer system is that users are now able to access data from remote places and perform transaction on- line. This paper reports on the experiment and performance of using keystroke dynamics as a user authentication method. The work is designed such that it is possible for the computer system to identify authorized and unauthorized user. This is desired to control access to a system that will assign the authorized user upon entering the system. The technique used to discriminate the data is Neural Network. This paper describes the application of neural networks to the problem of identifying specific users through the typing characteristics exhibited when typing their own name. The test carried out uses two kinds of neural network model, i.e. ADALINE and Backpropagation Network. A comparison of these two techniques are presented.
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© 2000 Springer-Verlag Berlin Heidelberg
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Ahmad, A.M., Abdullah, N.N. (2000). User Authentication via Neural Network. In: Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2000. Lecture Notes in Computer Science, vol 1904. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45331-8_30
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DOI: https://doi.org/10.1007/3-540-45331-8_30
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