A Hybrid Machine Learning Technique for Multiple Soft Biometric Based Dynamic Keystroke Pattern Recognition System-Reference-Cited by-同舟云学术

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A Hybrid Machine Learning Technique for Multiple Soft Biometric Based Dynamic Keystroke Pattern Recognition System

Published:2023-09-20 Issue:8 Volume:55 Page:10845-10871
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Shanmugavalli V.,Suresh Kumar S.,Nithya Kalyani S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-023-11354-6.pdf

Reference31 articles.

1. Sheng Y, Phoha VV, Rovnyak SM (2005) A parallel decision tree-based method for user authentication based on keystroke patterns. IEEE Trans Syst Man, Cybern Part B Cybern 35(4):826–833

2. Schclar A, Rokach L, Abramson A, Elovici Y (2012) User authentication based on representative users. IEEE Trans Syst, Man, Cybern, Part C Appl Rev 42(6):1669–1678

3. Araújo LC, Sucupira LH, Lizarraga MG, Ling LL, Yabu-Uti JBT (2005) User authentication through typing biometrics features. IEEE Trans Signal Process 53(2):851–855

4. Pisani PH, Giot R, De Carvalho AC, Lorena AC (2016) Enhanced template update: application to keystroke dynamics. Comput Secur 60:134–153

5. Wang X, Guo F, Ma JF (2012) User authentication via keystroke dynamics based on difference subspace and slope correlation degree. Digital Signal Processing 22(5):707–712

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing dynamic keystroke pattern recognition with hybrid deep learning technique and multiple soft biometric factors;INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL;2024-03-01

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