USER IDENTIFICATION VIA KEYSTROKE CHARACTERISTICS OF TYPED NAMES USING NEURAL NETWORKS

被引：100

作者：

BROWN, M

ROGERS, SJ

机构：

[1] Computer Science Department, University of Alabama, Tuscaloosa, AL 35487

来源：

INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES | 1993年 / 39卷 / 06期

关键词：

D O I：

10.1006/imms.1993.1092

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method for identifying computer users by analysing keystroking patterns with neural networks and a simple geometric distance is presented. A model of each user's normal typing style was created and compared with later typing samples. Preliminary results demonstrate complete exclusion of imposters and a reasonably low false alarm rate when the sample text was limited to the user's name. © 1993 Academic Press. All rights reserved.

引用

页码：999 / 1014

页数：16

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