A Robust Network Intrusion Detection System Using Random Forest Based Random Subspace Ensemble to Defend Against Adversarial Attacks

A Robust Network Intrusion Detection System Using Random Forest Based Random Subspace Ensemble to Defend Against Adversarial Attacks

In recent years, machine learning (ML) has had a significant influence on the discipline of computer security. In network security, intrusion detection systems increasingly employ machine learning techniques. Approaches based on machine learning have substantially improved the efficacy of intrusio...

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Bibliographic Details
Main Authors: NATHANIEL, D., SOOSAI, A.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2023-11-01
Series:Advances in Electrical and Computer Engineering
Subjects:
computer networks
computer security
machine learning
firewalls
intrusion detection
Online Access:http://dx.doi.org/10.4316/AECE.2023.04009

Internet

http://dx.doi.org/10.4316/AECE.2023.04009

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