@inproceedings{3625e82133ca478bac5069d71465fa48,
title = "A user authentication and identification model based on mouse dynamics",
abstract = "Most1 existing researches on identity authentication based on Mouse Dynamics require strictly restriction on experimental environment, and can only verify the legitimacy of the user without the ability to specifically recognize the identity of the impostor. To address this issue, we proposed an identification and authentication approach based on a weighted voting technology under an uncontrolled environment, which extracting both conventional statistical features and newly defined individual features of various operations. Two experiments are conducted with a dataset from 12 users. We obtained an accuracy of 84.1\% in the identification experiment with an authentication time of 90s. In the authentication experiment, we get a FRR of 5.5\% and a FAR of 8.8\% with only 30s. Those noticeable results indicate the proposed method can be applied in practical environment.",
keywords = "Authentication, Identification, Mouse dynamics, Voting technology",
author = "Wang Kaixin and Liu Hongri and Wang Bailing and Hu Shujie and Song Jia",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 6th WASE International Conference on Information Engineering, ICIE 2017 ; Conference date: 17-08-2017 Through 18-08-2017",
year = "2017",
month = aug,
day = "17",
doi = "10.1145/3078564.3078581",
language = "英语",
isbn = "9781450352109",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
booktitle = "Proceedings of the 6th WASE International Conference on Information Engineering, ICIE 2017",
address = "美国",
}