Keystroke Data Classification for Computer User Profiling and Verification

被引：4
|
作者：
Wesolowski, Tomasz Emanuel [1 ]
Porwik, Piotr [1 ]
机构：
[1] Univ Silesia, Inst Comp Sci, PL-41200 Sosnowiec, Poland
来源：
COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2015), PT II | 2015年 / 9330卷
关键词：
Behavioral biometrics; Data classification; Free text analysis; Keystroke analysis; AUTHENTICATION;
D O I：
10.1007/978-3-319-24306-1_57
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article addresses the issues of behavioral biometrics. Presented research concerns an analysis of a user activity related to a keyboard use in a computer system. A method of computer user profiling based on encrypted keystrokes is introduced to ensure a high level of users data protection. User's continuous work in a computer system is analyzed. This type of analysis constitutes a type of free-text analysis. Additionally, an attempt to user verification in order to detect intruders is performed. Intrusion detection is based on a modified k-NN classifier and different distance measures.
引用
收藏
页码：588 / 597
页数：10
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