@inproceedings{a09266afaa794729b5f540efcadb2237,
title = "On continuous user authentication via hidden free-text based monitoring",
abstract = "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.",
keywords = "Behavioral biometrics, Classification, Continuous authentication, Feature selection, Keystroke dynamics",
author = "Elena Kochegurova and Elena Luneva and Ekaterina Gorokhova",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-01821-4_8",
language = "English",
isbn = "9783030018207",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "66--75",
editor = "Valery Tarassov and Sergey Kovalev and Andrey Sukhanov and Ajith Abraham and Vaclav Snasel",
booktitle = "Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI{\textquoteright}18) - Volume 2",
address = "Germany",
note = "3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018 ; Conference date: 17-09-2018 Through 21-09-2018",
}