Classification model for accuracy and intrusion detection using machine learning approach

Classification model for accuracy and intrusion detection using machine learning approach

In today’s cyber world, the demand for the internet is increasing day by day, increasing the concern of network security. The aim of an Intrusion Detection System (IDS) is to provide approaches against many fast-growing network attacks (e.g., DDoS attack, Ransomware attack, Botnet attack, etc.), as...

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Bibliographic Details
Main Authors: Arushi Agarwal, Purushottam Sharma, Mohammed Alshehri, Ahmed A. Mohamed, Osama Alfarraj
Format: Article
Language:English
Published: PeerJ Inc. 2021-04-01
Series:PeerJ Computer Science
Subjects:
Intrusion detection system
K-Nearest Neighbors (KNN)
Support vector machine (SVM)
Naive Bayes (NB)
UNSWNB15 dataset
Online Access:https://peerj.com/articles/cs-437.pdf

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