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Comparative Analysis of Naïve Bayes and J48 Algorithms on Intrusion Detection System (IDS)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 49 |
| Year of Publication: 2019 |
| Authors: Priyanshi Kotlia, Janmejay Pant |
10.5120/ijca2019918687
|
Priyanshi Kotlia, Janmejay Pant . Comparative Analysis of Naïve Bayes and J48 Algorithms on Intrusion Detection System (IDS). International Journal of Computer Applications. 181, 49 ( Apr 2019), 63-66. DOI=10.5120/ijca2019918687
Abstract
Intrusion detection system (IDS) is the science of detecting malicious activity across the computer network, as it is expanding, there is a challenge to compete with the malicious users or intruders who can easily break into the system .This paper put a light on performance analysis by J48 and Naïve Bayes algorithm to detect the error in intrusion detection system (IDS). Where Naïve bayes algorithm is based on probability and j48 algorithm is based on decision tree. The paper set out to make the comparative study of algorithms Naïve Bayes and J48 in the IDS data set to maximize the True Positive Rate and minimize the False Positive Rate using the WEKA Tool. The paper is showing the experimental result about classification of accuracy, sensitivity and specificity on data set of IDS and also shows that J48 algorithm is much better than that of Naïve Bayes algorithm in terms of precision and accuracy.
References
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- Janmejay Pant, Bhaskar Pant and Amit Juyal,” Comparative Study of Different Models before Feature Selection and AFTER Feature Selection for Intrusion Detection,” International Journal of Computer Applications (0975 – 8887), Volume 98– No.14, July 2014
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