Development of the Keystroke Dynamics Recognition System; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)
| Parent link: | Journal of Physics: Conference Series Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012073, 6 p.] |
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| المؤلف الرئيسي: | |
| مؤلف مشترك: | |
| مؤلفون آخرون: | , |
| الملخص: | Title screen 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. |
| اللغة: | الإنجليزية |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1088/1742-6596/803/1/012073 http://earchive.tpu.ru/handle/11683/38155 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355 |
| الملخص: | Title screen 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. |
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| DOI: | 10.1088/1742-6596/803/1/012073 |