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Reseach Article

Comparing Structure Learning Algorithms of Bayesian Network in Authentication via Short Free Text

by Charoon Chantan, Sukree Sinthupinyo, Tippakorn Rungkasiri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 3
Year of Publication: 2012
Authors: Charoon Chantan, Sukree Sinthupinyo, Tippakorn Rungkasiri
10.5120/6888-9204

Charoon Chantan, Sukree Sinthupinyo, Tippakorn Rungkasiri . Comparing Structure Learning Algorithms of Bayesian Network in Authentication via Short Free Text. International Journal of Computer Applications. 46, 3 ( May 2012), 19-24. DOI=10.5120/6888-9204

@article{ 10.5120/6888-9204,
author = { Charoon Chantan, Sukree Sinthupinyo, Tippakorn Rungkasiri },
title = { Comparing Structure Learning Algorithms of Bayesian Network in Authentication via Short Free Text },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 3 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number3/6888-9204/ },
doi = { 10.5120/6888-9204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:47.608242+05:30
%A Charoon Chantan
%A Sukree Sinthupinyo
%A Tippakorn Rungkasiri
%T Comparing Structure Learning Algorithms of Bayesian Network in Authentication via Short Free Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 3
%P 19-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we empirically evaluate effectiveness of structure learning of Bayesian Network when applying such networks to the domain of Keystroke Dynamics authentication. We compare four structure learning methods of Bayesian Network Classifier – Genetic, TAN, K2, and Hill Climbing algorithms, on our authentication model, namely Classify User via Short-text and IP Model (CUSIM). The results show that Genetic algorithm was best suited to our model. The findings from the study also indicate that the Accuracy, FAR, and FRR rate of Genetic algorithm are better than other algorithms tested in this work. Moreover, we found that TAN algorithm gives better results in some scenario than other algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Authentication Classification Short Free Text Keystroke Dynamics Bayesian Network Internet Security.