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Arya Admaja
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Computer Science & IT Economics, Econometrics & Finance

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Analisis Ancaman Serangan Siber pada Sistem Jaringan Menggunakan Naive Bayes Classifier Berbasis Machine Learning Arya Admaja
Journal Of Informatics And Busisnes Vol. 3 No. 3 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i3.3586

Abstract

The research examines cyber attack threats on network systems using a machine learning approach based on the Naive Bayes Classifier to detect such threats. The NSL-KDD dataset was used as the data source, with preprocessing and model training conducted in the Google Colab environment using the Python programming language. The model testing results indicate that this approach is effective in classifying network data into normal and attack categories with a high level of accuracy. This study contributes to enhancing network system security through faster and more accurate threat detection.
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