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)

Bibliografische gegevens
Parent link:Advances in Intelligent Systems and Computing
Vol. 875 : Intelligent Information Technologies for Industry (IITI’18).— 2018.— [P. 66-75]
Hoofdauteur: Kochegurova E. A. Elena Alekseevna
Coauteur: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Andere auteurs: Luneva E. E. Elena Evgenievna, Gorokhova E. S. Ekaterina Sergeevna
Samenvatting: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
Taal:Engels
Gepubliceerd in: 2018
Reeks:Advances in Intelligent Systems and Computing book series
Onderwerpen:
Online toegang:https://doi.org/10.1007/978-3-030-01821-4_8
Formaat: Elektronisch Hoofdstuk
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659708
Omschrijving
Samenvatting: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