Python scripts which can help to analyze anomalies in pcap file.
Source code is located in https://github.com/H21lab/Anomaly-Detection.
Scripts use as input json generated from pcap by the following command:
Unsupervised learning by using autoencoder neural network by using tensorflow.
Script using tensorflow classifier neural network and tshark input to detect anomalies. Neural network should be first trained by normal json pcap and anomaly json pcap with defined fields identifying relevant protocol fields.
Simple script simulating SQL GROUP BY and ORDER BY in pcap. Input is only single pcap and defining the fields in pcap which should be used for grouping and ordering.