Metadata-Version: 1.1
Name: network-pipeline
Version: 1.0.2
Summary: Distributed Network Packet Analysis Pipeline for Layer 2, 3 and 4 Frames
Home-page: https://github.com/jay-johnson/network-pipeline
Author: Jay Johnson
Author-email: jay.p.h.johnson@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: Python 3 framework for building a distributed network analysis pipeline. Currently supports recording ethernet and arp (layer 2), ipv4, ipv6 and icmp (layer 3) and also tcp, udp frames (layer 4) frames and datagrams. Messages are auto-forwarded over to redis or rabbitmq for distributed processing in realtime. 
        Why should I use this? This framework can help build, train and tune your own defensive machine learning models to help defend your own infrastructure at the network layer. Once the data is auto-saved as a csv file, then you can build models within Jupyter notebooks: https://github.com/jay-johnson/celery-connectors#running-jupyterhub-with-postgres-and-ssl or your ML/AI framework of choice. 
        There are test tools installed with this pip to quickly send mock: TCP, UDP, ARP and ICMP packets. 
        This build currently utilizes scapy-python3 for packet recording: https://github.com/phaethon/scapy 
        Future builds will utilize the multiprocessing engine included but does not filter src/dst ports correctly yet.The license will be full Apache 2 once that migration is done.
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
