Keyword-based approach for recognizing fraudulent messages by keystroke dynamics
作者：
Highlights：
• We propose an approach, which combines the techniques of keystroke dynamics, two new prediction methods, a new classifier, and a keyword-based detection mechanism to authenticate US English fraudulent instant messages.
• To the best of our knowledge, this study is the first to apply keystroke dynamics to detect fraudulent instant messages.
• Experimental results indicate that our proposed approach outperforms other relevant published methods, in terms of shorter training time, less false alarms, and comparable recognition accuracy.
摘要
•We propose an approach, which combines the techniques of keystroke dynamics, two new prediction methods, a new classifier, and a keyword-based detection mechanism to authenticate US English fraudulent instant messages.•To the best of our knowledge, this study is the first to apply keystroke dynamics to detect fraudulent instant messages.•Experimental results indicate that our proposed approach outperforms other relevant published methods, in terms of shorter training time, less false alarms, and comparable recognition accuracy.
论文关键词：Biometrics,Internet fraud,Instant messaging,Keystroke dynamics,Free text
论文评审过程：Received 23 July 2019, Revised 9 August 2019, Accepted 23 September 2019, Available online 24 September 2019, Version of Record 28 September 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.107067
