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About 01-2021 CNN ML
This document summarizes a research paper that proposes a novel intrusion detection system using a convolutional neural network model. The paper aims to detect both known and innovative cyberattacks by classifying network packet traffic as either benign or malicious. The model is trained and validated using the CICIDS2017 intrusion detection dataset. Evaluation results show the model achieves high accuracy, attack detection rates, and low false alarm rates, outperforming nine other common classifiers.
Detailed Information
| Author: | ['Sayeed Habeeb'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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