Web User Authentication Using Chosen Word Keystroke Dynamics

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) Pub Date : 2019-12-01 DOI:10.1109/ICMLA.2019.00188

K. Rahman, Deepak Neupane, Abdulrahman Zaiter, M. Hossain

引用次数: 5

Abstract

Keystroke dynamics has been used as a form of one-time user authentication and continuous verification especially when it comes to securing the cyberspace. In this paper, we present the idea of using keystroke dynamics as a form of second layer authentication in web applications. We showed that this method can authenticate a user with high accuracy and can be used as an alternate to CAPTCHA tests, security questions and image selections that are being used today. We have developed a working web-based platform in a browser environment that enforces the proposed second-layer security. We performed penetration test experiments by launching a total of 598,500 impostor and genuine authentication attempts and found the Equal Error Rate (EER) as 10.5%.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

使用选定单词击键动力学的Web用户身份验证

击键动力学已被用作一次性用户身份验证和持续验证的一种形式，特别是在保护网络空间时。在本文中，我们提出了在web应用程序中使用击键动力学作为第二层身份验证形式的想法。我们证明了这种方法可以非常准确地验证用户身份，并且可以作为目前使用的CAPTCHA测试、安全问题和图像选择的替代方法。我们已经在浏览器环境中开发了一个基于web的工作平台，该平台加强了提议的第二层安全性。我们通过发起598,500次冒名顶替者和真实身份验证尝试进行渗透测试实验，发现相等错误率(EER)为10.5%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)

自引率

0.00%

发文量

期刊最新文献

Automated Stenosis Classification of Carotid Artery Sonography using Deep Neural Networks Hybrid Condition Monitoring for Power Electronic Systems Time Series Anomaly Detection from a Markov Chain Perspective Anyone here? Smart Embedded Low-Resolution Omnidirectional Video Sensor to Measure Room Occupancy Deep Learning with Domain Randomization for Optimal Filtering