A hamming distance-like filtering in keystroke dynamics

Author

Kaneko, Yoshihiro ; Kinpara, Yuji ; Shiomi, Yuta

Author_Institution

Dept. of Inf. Sci., Gifu Univ., Gifu, Japan

fYear

2011

fDate

19-21 July 2011

Firstpage

93

Lastpage

95

Abstract

Keystroke dynamics-based user authentication is recognized as one of potentially valid biometrics. For this research, we asked 51 subjects to input predefined text and collected their keystroke data. For two data, their dissimilarity is measured, with which they are verified to be collected from the same subject or not. In this paper, we show that dissimilarity measures have their EER depend on filtering of outlier for collected data. To verify that two data are collected from different subjects, we propose a new filter method based on the resemblance to Hamming distance. Authentication experiments say that our proposal is valid.

Keywords

biometrics (access control); security of data; biometrics; dissimilarity measurement; filter method; hamming distance like filtering; input predefined text; keystroke data; keystroke dynamics based user authentication; Authentication; Filtering; Hamming distance; Privacy; Proposals; Tuning; Hamming distance; dissimility measures; keystroke dynamics; user authentication;

fLanguage

English

Publisher

ieee

Conference_Titel

Privacy, Security and Trust (PST), 2011 Ninth Annual International Conference on

Conference_Location

Montreal, QC

Print_ISBN

978-1-4577-0582-3

Type

conf

DOI

10.1109/PST.2011.5971969

Filename

5971969