On Continuous User Authentication via Hidden Free-Text Based Monitoring
| Parent link: | Advances in Intelligent Systems and Computing Vol. 875 : Intelligent Information Technologies for Industry (IITI’18).— 2018.— [P. 66-75] |
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| Corporate Author: | |
| Other Authors: | , |
| Summary: | Title screen This paper investigates the stages and specific features of continuous user authentication by hidden monitoring of keystroke dynamics when creating a free text. The stages include extraction of informative characteristics of keyboard rhythm, creation and update of user profiles and identification of efficiency criteria. A software application was developed for the project. The authors further analyzed existing algorithms for user identification based in metric distances. Previously proved features of keystroke dynamics were scaled with regard to frequency of use of Russian and English letters in free texts. Режим доступа: по договору с организацией-держателем ресурса |
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2018
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| Series: | Advances in Intelligent Systems and Computing book series |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-01821-4_8 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659708 |
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| 200 | 1 | |a On Continuous User Authentication via Hidden Free-Text Based Monitoring |f E. A. Kochegurova, E. E. Luneva, E. S. Gorokhova | |
| 203 | |a Text |c electronic | ||
| 225 | 1 | |a Advances in Intelligent Systems and Computing book series | |
| 300 | |a Title screen | ||
| 320 | |a [References: 21 tit.] | ||
| 330 | |a This paper investigates the stages and specific features of continuous user authentication by hidden monitoring of keystroke dynamics when creating a free text. The stages include extraction of informative characteristics of keyboard rhythm, creation and update of user profiles and identification of efficiency criteria. A software application was developed for the project. The authors further analyzed existing algorithms for user identification based in metric distances. Previously proved features of keystroke dynamics were scaled with regard to frequency of use of Russian and English letters in free texts. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Advances in Intelligent Systems and Computing | ||
| 463 | |t Vol. 875 : Intelligent Information Technologies for Industry (IITI’18) |o The Third International Scientific Conference, 17-21 September Sochi, Russia |o [proceedings] |f eds. S. Kovalev [et al.] |v [P. 66-75] |d 2018 | ||
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| 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 Luneva |b E. E. |c specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, Leading programmer |f 1981- |g Elena Evgenievna |3 (RuTPU)RU\TPU\pers\32933 | |
| 701 | 1 | |a Gorokhova |b E. S. |g Ekaterina Sergeevna | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение информационных технологий |3 (RuTPU)RU\TPU\col\23515 |
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