The paper is related to creating an algorithm for keystroke dynamics recognition and development of software, which is able to identify users according to their keystroke dynamics. Different characteristics of keystroke dynamics are considered. Probabilistic-statistical methods are compared with neural network algorithms for recognition. The algorithm for recognition was created and implemented. The software was tested with the help of some users. Their keystroke dynamics was analyzed in order to determine an efficiency of the created algorithm.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 2017|
|Event||International Conference on Information Technologies in Business and Industry 2016 - Tomsk, Russian Federation|
Duration: 21 Sep 2016 → 23 Sep 2016
ASJC Scopus subject areas
- Physics and Astronomy(all)