H21lab/Anomaly-Detection
Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.
This project helps network security analysts and operations engineers quickly identify unusual network traffic patterns. It takes network packet capture (pcap) files as input, processes them using `tshark`, and then applies machine learning to highlight potentially anomalous network frames. The output is a pcap file containing only the frames flagged as anomalies, making it easier to investigate suspicious activity.
Use this if you need to automate the detection of unusual or potentially malicious activity within large network traffic captures using machine learning.
Not ideal if you're looking for a user-friendly, graphical interface for anomaly detection or if you don't have experience working with command-line tools and network packet analysis.
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83
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21
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 01, 2026
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