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About Enhanced Network Anomaly Detection Based On Deep Neural Networks
This document discusses using deep learning approaches like convolutional neural networks, autoencoders, and recurrent neural networks for anomaly-based intrusion detection systems. It compares models based on these deep learning techniques to conventional machine learning classification methods. The deep learning models were trained on a standard dataset and evaluated using standard classification metrics to analyze their performance for intrusion detection.
Detailed Information
| Author: | ['Yishak Tadele'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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