Enhanced Intrusion Detection Systems Performance with UNSW-NB15 Data Analysis

Enhanced Intrusion Detection Systems Performance with UNSW-NB15 Data Analysis

The rapid proliferation of new technologies such as Internet of Things (IoT), cloud computing, virtualization, and smart devices has led to a massive annual production of over 400 zettabytes of network traffic data. As a result, it is crucial for companies to implement robust cybersecurity measures...

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Bibliographic Details
Main Authors: Shweta More, Moad Idrissi, Haitham Mahmoud, A. Taufiq Asyhari
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Algorithms
Subjects:
machine learning in cyber security
UNSW-NB15 dataset
logistic regression
support vector machine
decision tree
random forest
Online Access:https://www.mdpi.com/1999-4893/17/2/64

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https://www.mdpi.com/1999-4893/17/2/64

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