anacletu/ml-intrusion-detection-cicids2017
Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks
This project offers a system to detect unusual and potentially malicious activity on your network. It monitors incoming and outgoing network traffic, identifies patterns that don't match normal behavior, and flags them as potential threats. Small business owners, IoT device managers, or anyone operating a network with limited computing resources can use this to enhance their security.
No commits in the last 6 months.
Use this if you need a lightweight and efficient system to monitor network traffic for intrusions on devices like a Raspberry Pi.
Not ideal if you require a comprehensive, enterprise-grade intrusion detection system with extensive rule sets and advanced threat intelligence.
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16
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 04, 2025
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