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All Journal Bulletin of Electrical Engineering and Informatics
Fakhrur Razi
Universitas Muhammadiyah Surakarta
Electrical & Electronics Engineering

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Naive Bayes modification for intrusion detection system classification with zero probability Yogiek Indra Kurniawan; Fakhrur Razi; Nofiyati Nofiyati; Bangun Wijayanto; Muhammad Luthfi Hidayat
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.2833

Abstract

One of the methods used in detecting the intrusion detection system is by implementing Naïve Bayes algorithm. However, Naïve Bayes has a problem when one of the probabilities is 0, it will cause inaccurate prediction, or even no prediction was found. This paper proposed two modifications for Naïve Bayes algorithm. The first modification eliminated the variable that has 0 probability and the second modification changed the multiplication operations to addition operations. This modification is only applied when the Naïve Bayes algorithm does not find any prediction results caused by zero probabilities. The results of this research show that the value of precision, recall, and accuracy in the modification made tends to increase and better than the original Naïve Bayes algorithm. The highest precision, recall, and accuracy are obtained from modification by changing the multiplication operation to the addition. Increasing precision can reach 4%, increasing recall reaches 2% and increasing accuracy reaches 2%.
Co-Authors Bangun Wijayanto Hidayat, Muhammad Luthfi Kurniawan, Yogiek Indra Nofiyati, Nofiyati