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About Deep Learning in Intrusion Detection System: An Overview: Muhamad Erza Aminanto, Kwangjo Kim
This document provides an overview of using deep learning techniques in intrusion detection systems. It discusses the challenges of identifying unknown attacks and how machine learning approaches have been used to classify network traffic. Deep learning is presented as a promising state-of-the-art machine learning method that could improve intrusion detection abilities. The document surveys previous intrusion detection systems that have used deep learning approaches like deep neural networks and discusses their advantages and limitations. It argues that deep learning is useful for feature extraction in intrusion detection systems to help detect unknown attacks.
Detailed Information
| Author: | ['pepe'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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