A Survey on different Machine Learning algorithms that are compatible with CSE-CIC IDS 2018 Dataset

Author(s)	Radhika S K, Ashwini S P, Dr. Jalesh Kumar
Country	India
Abstract	This paper mainly devotes on these machine learning models: Decision Trees, Naive Bayes, Gradient descent, support vector machine and Random Forest describing different potential threats represented with CSE-CIC-IDS2018 dataset. Multiclass classifications have been included to check which of the machine models will effectively identify and prevent intrusion into the network.
Keywords	Cyber security, Machine Learning, CIC-IDS-2018, Multiclass classification, Decision Tree, Random Forest, Gradient Boost, SVM, KNN, Naïve Bayes
Field	Computer > Network / Security
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-05
Cite This	A Survey on different Machine Learning algorithms that are compatible with CSE-CIC IDS 2018 Dataset - Radhika S K, Ashwini S P, Dr. Jalesh Kumar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29927
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.29927
Short DOI	https://doi.org/g8qfvs

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