击键动态学
击键记录
计算机科学
生物识别
可用性
认证(法律)
模式
人工智能
人机交互
数据挖掘
机器学习
密码
计算机安全
S/键
社会科学
社会学
作者
Yan Sun,Hayreddin Ceker,Shambhu Upadhyaya
标识
DOI:10.1109/wifs.2016.7823894
摘要
Keystroke dynamics is an effective behavioral biometrics for user authentication at a computer terminal. Continuous or active authentication using keystroke dynamics has raised a lot of interest among researchers. However, there are only a few public datasets available for the research community compared to other biometric modalities primarily because of the difficulty of large scale data collection. Even the existing ones generally suffer from small number of subjects and lack of extensive features. In this paper, we provide the details on the collection of a shared dataset for the study of keystroke dynamics. We have collected raw keystroke data from 157 subjects allowing them to transcribe fixed text and answer questions freely. The dataset is characterized to reflect the temporal variations of typing patterns and the perturbations caused by different keyboard layouts. To show the usability and the quality of our dataset, we apply an existing algorithm, viz. Gaussian mixture model for keystroke analysis on the dataset and report the results.
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