Analysis of Keystroke Dynamics For the Generation of Synthetic Datasets

被引：7

作者：

Migdal, Denis ^{[1
]}

Rosenberger, Christophe ^{[1
]}

机构：

[1] Normandie Univ, CNRS, UNICAEN, ENSICAEN,GREYC, F-14000 Caen, France

来源：

2018 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW) | 2018年

关键词：

Keystroke; Synthetic dataset; Data Analysis;

D O I：

10.1109/CW.2018.00068

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Biometrics is an emerging technology more and more present in our daily life. However, building biometric systems requires a large amount of data that may be difficult to collect. Collecting such sensitive data is also very time consuming and constrained, s.a. GDPR legislation. In the case of keystroke dynamics, existing databases have less than 200 users. For these reasons, we aim at generating a keystroke dynamics synthetic dataset. This paper presents the generation of keystroke data from known users as a first step towards the generation of synthetic datasets, and could also be used to impersonate users' identity.

引用

页码：339 / 344

页数：6