perriDplatypus/Anomaly-Detection-KDD99-CNNLSTM
Intrusion Detection System using Machine Learning and Deep Learning
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.
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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.
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Dec 27, 2023
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