Abstract
In an effort to confront the challenges brought forward by the increased need for access control, we present an improved technique for authorized access to computer system resources and data via keystroke dynamics. A database of keystrokes of login ids and passwords collected from 38 users is constructed. From the samples collected, signatures were formed using three membership functions of Fuzzy Logic. Users were authenticated by comparing the typing pattern to their respective signatures. We have included the usage of the SHIFT and the CAPS LOCK keys as part of the feature sets. We analyzed the performance of the three membership functions of Fuzzy Logic based on features like FAR and FRR to evaluate the efficiency of the detection algorithms. The paper presents the results of the analysis thereby providing an inexpensive method of intrusion detection as compared to other behavioral biometric methods.
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© 2013 Springer Science+Business Media New York
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Sridhar, M., Abraham, T., Rebello, J., D’souza, W., D’Souza, A. (2013). Intrusion Detection Using Keystroke Dynamics. In: Das, V. (eds) Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing. Lecture Notes in Electrical Engineering, vol 150. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3363-7_16
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DOI: https://doi.org/10.1007/978-1-4614-3363-7_16
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