perriDplatypus/Anomaly-Detection-KDD99-CNNLSTM

Intrusion Detection System using Machine Learning and Deep Learning

37
/ 100
Emerging

This system helps network security professionals identify unusual or malicious activity within network traffic. It takes raw network packet data, processes it, and then classifies each packet to detect intrusions. Network administrators and security analysts are the primary users who would benefit from this tool for enhancing network security.

No commits in the last 6 months.

Use this if you need an automated system to detect suspicious patterns in network data for intrusion detection.

Not ideal if you require real-time, high-throughput intrusion detection for a production network with constantly evolving threat landscapes, as this is a research-based project.

network-security intrusion-detection cybersecurity-monitoring network-traffic-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 20 / 25

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89

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23

Language

Jupyter Notebook

License

Last pushed

Dec 27, 2023

Commits (30d)

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