Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks

Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks

With the increasing number of new attacks, virtualized and distributed networks require greater attention and investment in cybersecurity. Organizations must rely on effective Intrusion Detection Systems (IDS) to detect both known and novel attacks. Therefore, Machine Learning (ML) and Deep Learning...

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Bibliographic Details
Main Authors: Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
machine learning (ML)
deep learning (DL)
cloud computing (CC)
Internet of Things (IoT)
software defined network (SDN)
Online Access:https://ieeexplore.ieee.org/document/11036755/
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