{"repo":"H21lab/Anomaly-Detection","free":true,"listed":false,"github":"https://github.com/H21lab/Anomaly-Detection","clone":"git clone https://github.com/H21lab/Anomaly-Detection.git","description":"Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.","language":"Jupyter Notebook","stars":84,"topics":["tshark","detect-anomalies","tensorflow","pcap","json","wireshark","machine-learning","neural-network","monitoring"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"💡 Update Online application with anomaly detection capabilities logs-analyzer is now available: Source code you can find in the https://github.com/h21-lab/apps-collection-info repository. 👉 Get Access Unsupervised Anomaly Detection using tensorflow and tshark Unsupervised learning by using autoencoder neural network by using tensorflow. See the ad tf autoencoder.ipynb Supervised Anomaly Detection using tensorflow and tshark Simple Anomaly Detection using tshark Limitations Program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY. Attribution This code was created by Martin Kacer, H21 lab, Copyright 2020. https://www.h21lab.com","default_branch":null,"files":null,"tree":[],"storefront":"/r/H21lab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/H21lab/Anomaly-Detection/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}