On Continuous User Authentication via Hidden Free-Text Based Monitoring; Advances in Intelligent Systems and Computing; Vol. 875 : Intelligent Information Technologies for Industry (IITI’18)

On Continuous User Authentication via Hidden Free-Text Based Monitoring; Advances in Intelligent Systems and Computing; Vol. 875 : Intelligent Information Technologies for Industry (IITI’18)

書目詳細資料
Parent link:Advances in Intelligent Systems and Computing
Vol. 875 : Intelligent Information Technologies for Industry (IITI’18).— 2018.— [P. 66-75]
主要作者: Kochegurova E. A. Elena Alekseevna
企業作者: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
其他作者: Luneva E. E. Elena Evgenievna, Gorokhova E. S. Ekaterina Sergeevna
總結: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
語言:英语
出版: 2018
叢編:Advances in Intelligent Systems and Computing book series
主題:
электронный ресурс
труды учёных ТПУ
динамика
аутентификация
биометрия
классификации
在線閱讀:https://doi.org/10.1007/978-3-030-01821-4_8
格式: MixedMaterials 電子 Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659708
實物特徵
總結: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
DOI:10.1007/978-3-030-01821-4_8

相似書籍