Balanced Multi-Class Network Intrusion Detection Using Machine Learning

Balanced Multi-Class Network Intrusion Detection Using Machine Learning

Cybersecurity is gaining a high position in the IT sector. Connecting more devices to the internet smooths the way for hackers. It is hard for signature-based security tools to detect new attacks that emerge and evolve with slight changes. Researchers are trying to build a Network Intrusion Detectio...

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Bibliographic Details
Main Authors: Faraz Ahmad Khan, Asghar Ali Shah, Nizal Alshammry, Saifullah Saif, Wasim Khan, Muhammad Osama Malik, Zahid Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
AdaBoost
anomaly detection
binary classification
decision trees
deep learning
intrusion detection
Online Access:https://ieeexplore.ieee.org/document/10758423/
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https://ieeexplore.ieee.org/document/10758423/

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