dreizehnutters/pcapAE
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.
This project helps network security analysts detect unusual activity in industrial control systems by examining raw network traffic. It takes network packet capture (PCAP) files as input and outputs potential anomalies, along with explanations of why certain network segments are flagged. This tool is designed for network defenders or security operations center (SOC) personnel monitoring critical infrastructure.
No commits in the last 6 months.
Use this if you need to identify hidden, spatial-temporal anomalies in network traffic from industrial control systems without relying on known attack signatures.
Not ideal if you need a quick, off-the-shelf solution for general IT network intrusion detection, as this is more specialized for industrial contexts.
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18
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 16, 2024
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