A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues. This article systematically reviews recent advancements in ap...

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Bibliographic Details
Main Authors: Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
deep learning
intrusion detection systems (IDS)
spatiotemporal feature extraction
data imbalance
convolutional neural networks (CNNs)
generative adversarial networks (GANs)
Online Access:https://www.mdpi.com/2076-3417/15/3/1552

Internet

https://www.mdpi.com/2076-3417/15/3/1552

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