Grouping instances inkNN for classification based on computer mouse features

Author:

Chudá Daniela,Krátky Peter

Publisher

ACM Press

Reference11 articles.

1. Gamboa, H., Fred, A.: A behavioral biometric system based on human-computer interaction. In: Proceedings of SPIE, (2004).

2. Cha, S.-H.: Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. In: International Journal of Mathematical Models and Methods in Applied Sciences, (2007), vol. 1, no. 4, pp. 300--307.

3. Chudá, D., Krátky, P.: Usage of computer mouse characteristics for identification in web browsing. In: CompSysTech '14 Proceedings of the 15th International Conference on Computer Systems and Technologies, (2014), pp. 218--225.

4. Chudá, D., Krátky, P., Tvarožek, J.: Mouse Clicks Can Recognize Web Page Visitors! In: WWW 2015 Companion, (in print).

5. Mondal, S., Bours, P.: Continuous authentication using mouse dynamics. In: Biometrics Special Interest Group (BIOSIG), (2013), pp. 1--12.

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1. Recognition of web users with the aid of biometric user model;Journal of Intelligent Information Systems;2018-02-07

2. Predicting Age and Gender by Keystroke Dynamics and Mouse Patterns;Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization;2017-07-09

3. Fine-tuning Web Traffic Statistics by Deduplication and Splitting of Visitors Records Using Mouse Biometrics;Proceedings of the 17th International Conference on Computer Systems and Technologies 2016;2016-06-23

4. Estimating Gender and Age of Web Page Visitors from the Way They Use Their Mouse;Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion;2016

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