Biometric keystroke barcoding: A next-gen authentication framework
作者：
Highlights：
• We introduced the keystroke barcodes for the first time in the literature.
• The barcodes carry information on the unique biometric password entering styles.
• The keystroke data is quantized for frequency vs time localization using CWT.
• The complex Frequency B-spline wavelets are investigated for scalogram conversion.
• We achieved 1.834% EER for 109 real and fraud attempts with a training size of 4.
摘要
•We introduced the keystroke barcodes for the first time in the literature.•The barcodes carry information on the unique biometric password entering styles.•The keystroke data is quantized for frequency vs time localization using CWT.•The complex Frequency B-spline wavelets are investigated for scalogram conversion.•We achieved 1.834% EER for 109 real and fraud attempts with a training size of 4.
论文关键词：Keystroke authentication,Biometrics,Complex wavelets,Scalogram,Barcode,CWT,SVM
论文评审过程：Received 7 April 2020, Revised 20 November 2020, Accepted 28 March 2021, Available online 1 April 2021, Version of Record 10 April 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114980
