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.] |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Other Authors: | , |
| Summary: | 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. |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1088/1742-6596/803/1/012073 http://earchive.tpu.ru/handle/11683/38155 |
| Format: | MixedMaterials Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355 |
MARC
| LEADER | 00000nla2a2200000 4500 | ||
|---|---|---|---|
| 001 | 654355 | ||
| 005 | 20240220133328.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\19949 | ||
| 035 | |a RU\TPU\network\19948 | ||
| 090 | |a 654355 | ||
| 100 | |a 20170425a2017 k y0engy50 ba | ||
| 101 | 0 | |a eng | |
| 105 | |a y z 100zy | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Development of the Keystroke Dynamics Recognition System |f E. A. Kochegurova, E. S. Gorokhova, P. I. Mozgaleva | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 11 tit.] | ||
| 330 | |a 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. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\3526 |t Journal of Physics: Conference Series | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\19875 |t Vol. 803 : Information Technologies in Business and Industry (ITBI2016) |o International Conference, 21–26 September 2016, Tomsk, Russian Federation |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. N. V. Martyushev ; V. S. Avramchuk ; V. A. Faerman |v [012073, 6 p.] |d 2017 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a распознавание | |
| 610 | 1 | |a динамика | |
| 610 | 1 | |a программное обеспечение | |
| 610 | 1 | |a нейронные сети | |
| 610 | 1 | |a алгоритмы | |
| 610 | 1 | |a системы безопасности | |
| 610 | 1 | |a клавиатура | |
| 700 | 1 | |a Kochegurova |b E. A. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1958- |g Elena Alekseevna |3 (RuTPU)RU\TPU\pers\33442 |9 17123 | |
| 701 | 1 | |a Gorokhova |b E. S. | |
| 701 | 1 | |a Mozgaleva |b P. I. |c Specialist in the field of informatics and computer technology |c Expert of Tomsk Polytechnic University |f 1987- |g Polina Igorevna |3 (RuTPU)RU\TPU\pers\31697 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Институт кибернетики (ИК) |b Кафедра автоматики и компьютерных систем (АИКС) |3 (RuTPU)RU\TPU\col\18698 |
| 801 | 2 | |a RU |b 63413507 |c 20170428 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.1088/1742-6596/803/1/012073 | |
| 856 | 4 | |u http://earchive.tpu.ru/handle/11683/38155 | |
| 942 | |c CF | ||