Web-Based Application to Collect and Analyze Users Data for Keystroke Biometric Authentication

被引：0

作者：

Vasyl, Alieksieiev ^{[1
]}

Sharapova, Elena ^{[1
]}

Ivanova, Olena ^{[1
]}

Denis, Gorelov ^{[1
]}

Yuliia, Synytsia ^{[2
]}

机构：

[1] KNURE, Comp Radio Engn & Syst Tech Secur Informat Dept C, Kharkov, Ukraine

[2] Marvell Semicond Inc, Software Engn Dept, Santa Clara, CA USA

来源：

2017 IEEE FIRST UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON) | 2017年

关键词：

web application; authentication; keystroke dynamics; data collection; digraph; modularity; cross platform; DYNAMICS; IDENTIFICATION; VERIFICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Keystroke dynamics is rapidly developing and promising field of the research. User authentication systems based on this approach is not require the installation of additional equipment. It makes them flexible and significantly reduces the cost of implementation and subsequent exploitation. This paper describes the web application developed to collect and analyze individual characteristics of user keystroke based on time calculation of digraphs. That approach has several advantages such as simplicity to use, ability to obtain data at any time, to integrate application into an existing web resource, application is cross platform, has modular architecture and provide great scalability.

引用

页码：917 / 922

页数：6

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