Analysis of the Combination of Naïve Bayes and MHR (Mean of Horner’s Rule) for Classification of Keystroke Dynamic Authentication

Analysis of the Combination of Naïve Bayes and MHR (Mean of Horner’s Rule) for Classification of Keystroke Dynamic Authentication

Keystroke Dynamics Authentication (KDA) is a technique used to recognize somebody dependent on typing pattern or typing rhythm in a system. Everyone's typing behavior is considered unique. One of the numerous approaches to secure private information is by utilizing a password. The development o...

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Bibliographic Details
Main Authors: Zamah Sari, Didih Rizki Chandranegara, Rahayu Nurul Khasanah, Hardianto Wibowo, Wildan Suharso
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2022-06-01
Series:JOIN: Jurnal Online Informatika
Subjects:
keystroke dynamic authentication
classification
naã¯ve bayes
mean of horner’s rule
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/839

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https://join.if.uinsgd.ac.id/index.php/join/article/view/839

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