Game-Like Captchas for Intrusion Detection

被引:2
|
作者
Kirkbride, Philip [1 ]
Dewan, M. Ali Akber [1 ]
Lin, Fuhua [1 ]
机构
[1] Athabasca Univ, Sch Comp & Informat Syst, Fac Sci & Technol, Edmonton, AB, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Intrusion detection system; game; like captchas; credential stuffing; biometric authentication; AUTHENTICATION;
D O I
10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00061
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider a novel method of mining biometric data for user authentication by replacing traditional captchas with game-like captchas. The game-like captchas present the user with a short game in which they attempt to get a high score. The data produced from a user's game play will be used to produce a behavior biometric based on user interactions, such as mouse movement, click patterns and game choices. The baseline expectation of interactive behavior will be used as a single factor in an intrusion detection system providing continuous authentication, considering the factors such as IP address, location, time of use, website interactions, and behavior anomalies. In addition to acting as a source of data, game- like captchas are expected to deter bots and automated systems from accessing webbased services and improving the user experience for the endusers who have become accustomed to monotonous alternatives, such as Google's re-captcha.
引用
收藏
页码:312 / 315
页数:4
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