Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection

Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection

Traditional firewalls and data encryption techniques can no longer match the demands of current IoT network security due to the rising amount and variety of network threats. In order to manage IoT network risks, intrusion detection solutions have been advised. Even though machine learning (ML) helps...

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Bibliographic Details
Main Authors: Mohammed Zakariah, Salman A. AlQahtani, Mabrook S. Al-Rakhami
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
network intrusion detection
NSL–KDD
deep learning
adaptive synthetic sampling
network security
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/11/6504

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https://www.mdpi.com/2076-3417/13/11/6504

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