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Machine Learning based on Intrusion Detection

In order to detect malicious activity in a network a machine learning is used to analyze the traffic behaviour in the network, and take desicion based in a pre-train model.

This proyect code is trained using the public dataset from CSE-CIC-IDS2018 on AWS, specifically the first two days.

You can run this repository directly in a Google Colab environment in the following url Open Google Colab.

For for information of this project please go to this link Hackmd.io - Machine Learning based on Intrusion Detection

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