Improvements to Keystroke-Based Authentication By Adding Linguistic Context

被引：0

作者：

Goodkind, Adam ^{[1
]}

Brizan, David Guy ^{[1
]}

Rosenberg, Andrew ^{[2
]}

机构：

[1] CUNY, Grad Ctr, New York, NY 10016 USA

[2] CUNY Queens Coll, New York, NY USA

来源：

2015 IEEE 7TH INTERNATIONAL CONFERENCE ON BIOMETRICS THEORY, APPLICATIONS AND SYSTEMS (BTAS 2015) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Traditional keystroke-based authentication methods rely on timing of and between individual keystrokes, oblivious to the context in which the typing is taking place. By incorporating linguistic context into a keystroke-based user authentication system, we are able to improve performance, as measured by EER. Taking advantage of patterns in keystroke dynamics, we show that typists employ unique behavior relative to syntactic and lexical constructs, which can be used to help identify the typist.

引用

页数：6

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