Keyword-based approach for recognizing fraudulent messages by keystroke dynamics-Reference-Cited by-同舟云学术

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Keyword-based approach for recognizing fraudulent messages by keystroke dynamics

Published:2020-02 Issue: Volume:98 Page:107067
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Tsai Cheng-Jung,Huang Po-Hao

Funder

Ministry of Science and Technology of Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. Keystroke dynamics‐based user authentication service for cloud computing;Abo‐alian;Concurr. Comput.,2016

2. Biometric recognition based on free-text keystroke dynamics;Ahmed;IEEE Trans. Cybern.,2014

3. Frequency spectrograms for biometric keystroke authentication using neural network based classifier;Alpar;Knowl. Based Syst.,2017

4. Improving the performance of free-text keystroke dynamics authentication by fusion;Alsultan;Appl. Soft Comput.,2018

5. Free-text keystroke dynamics authentication for Arabic language;Alsultan;IET Biom.,2016

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1. KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences;Sensors;2023-10-10

2. Reading between the lines: Automatic inference of self-assessed personality traits from dyadic social chats;Computers in Human Behavior: Artificial Humans;2023-08

3. Examining the Current Status and Emerging Trends in Continuous Authentication Technologies through Citation Network Analysis;ACM Computing Surveys;2022-12-07

4. Free Text Keystroke Dynamics-based Authentication with Continuous Learning: A Case Study;2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS);2022-12

5. User Authentication Method Based on Keystroke Dynamics and Mouse Dynamics with Scene-Irrelated Features in Hybrid Scenes;Sensors;2022-09-01

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