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Exploring Network Intrusion Detection through Machine Learning: Detect anomalies and enhance cybersecurity using data-driven models.

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NIDS-Machine-Learning

Network Intrusion Detection using Machine Learning

Exploring the intersection of network security and machine learning with this project focused on Network Intrusion Detection (NIDS).

This project is part of the CSE422 - Artificial Intelligence course at BRAC University.

Project Scope:

  • Detect anomalies and potential security breaches in network traffic.
  • Apply Machine Learning techniques for automatic intrusion detection.
  • Learn about data preprocessing, feature engineering, and model evaluation.

Note: This was a class project. Feel free to help us improve.

Disclaimer: This project is intended for educational purposes and is not for production use.

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Exploring Network Intrusion Detection through Machine Learning: Detect anomalies and enhance cybersecurity using data-driven models.

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