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)

Bibliografski detalji
Parent link:Advances in Intelligent Systems and Computing
Vol. 875 : Intelligent Information Technologies for Industry (IITI’18).— 2018.— [P. 66-75]
Glavni autor: Kochegurova E. A. Elena Alekseevna
Autor kompanije: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Daljnji autori: Luneva E. E. Elena Evgenievna, Gorokhova E. S. Ekaterina Sergeevna
Sažetak: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
Jezik:engleski
Izdano: 2018
Serija:Advances in Intelligent Systems and Computing book series
Teme:
Online pristup:https://doi.org/10.1007/978-3-030-01821-4_8
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659708
Opis
Sažetak: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
Digitalni identifikator objekta:10.1007/978-3-030-01821-4_8