PENERAPAN MULTI-CLASSIFICATION SERANGAN SIBER DENGAN METODE NAÏVE BAYES DAN CHI-SQUARE FEATURE SELECTION

FITRIA, NURUL and Heryanto, Ahmad (2024) PENERAPAN MULTI-CLASSIFICATION SERANGAN SIBER DENGAN METODE NAÏVE BAYES DAN CHI-SQUARE FEATURE SELECTION. Undergraduate thesis, Sriwijaya University.

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Abstract

The Naïve Bayes method has proven effective in detecting, evaluating, and performing multi-classification of cyberattacks. By leveraging the Chi-Square Feature Selection algorithm, accuracy can be improved by selecting the most relevant features for detecting attacks, enabling classification based on their types. The datasets used for testing and multi-classification include CIC-IDS2018, CIC-IDS2017, ISCX2012, and KDD-CUP 1999 in CSV format. The implementation of Chi-Square Feature Selection successfully achieved high F1-Score values on each dataset, considering the datasets are imbalanced. Optimal results were obtained with an 80:20 ratio for CIC-IDS2017 and 2018 datasets, a 20:80 ratio for ISCX 2012 dataset, and a 70:30 ratio for KDD-CUP 1999 dataset. Besides the appropriate ratio selection, the choice of model also plays a crucial role, where the Gaussian Naïve Bayes model is effective for CIC-IDS2018 and ISCX 2012 datasets, while the Multinomial Naïve Bayes model performs better for CIC-IDS2017 and KDD-CUP 1999 datasets. Validation confirms the importance of selecting a Naïve Bayes model that matches the dataset characteristics, key to achieving optimal performance in cyberattack detection. With a careful approach to feature selection, data ratio, and model choice, the system can produce accurate and efficient results in detecting cyberattacks.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Naïve Bayes, Chi-Square feature selection, multi-classification, cyber-attack detection.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TA Engineering (General). Civil engineering (General) > TA174.A385 Engineering design--Data processing. Manufacturing processes--Data processing. Computer integrated manufacturing systems. Manufacturing processes--Automation. CAD/CAM systems. T Technology > TA Engineering (General). Civil engineering (General) > TA329-348 Engineering mathematics. Engineering analysis
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Nurul Fitria
Date Deposited:	03 May 2024 06:53
Last Modified:	03 May 2024 06:53
URI:	http://repository.unsri.ac.id/id/eprint/143678

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