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Python Networking Projects offers unlimited opening for students and research academicians to attain the majestic future with a dream of profession. Today, we nearly served 5000+ students and research scholars by our highly advanced Python Networking Projects. Today, PTVS (Python toll for visual studio) is the most popular tool which turns VS (Visual Studio) into Python IDE. It is an open source and free plugin which supports IronPython, IntelliSense, CPython, browsing, mixed Python/C++ debugging, editing, profiling, remote MacOS/Linux debugging, web development with Django, IPython and other framework. Likewise, we have used for our Python Networking Projects.
Interesting Aspects in Python Networking:
- Great part of the networking tools used for real-life network scenarios
- Save time for each application when developed using Python modules
- GNS3 emulator support in a Python apps
- Network Automation using Python Library
- Convex optimization using cvxopt library (toy datasets)
- Python Open Source UI frameworks compatible with Linux, MacOS, iOS, Andorid, Windows, etc.
- Standard Network Analysis Platform supports Python interface using py
- More than 50 large network datasets have been used for web graphs, road networks, social networks, internet networks, collaboration networks, communication networks, citation networks, etc.
- Live data fetching from social media (Facebook, Twitter, Whatsapp, LinkedIn) using Python APIs
- Python libraries (tcpdump, wireshark, util.hexPlusAscii, binascii) for Malware Traffic Analysis
Python Libraries and Scripts in Network Forensics:
- Eddie (tool which supports various networking activities)
- Packet Capture Library-Pycap (wrapper that integrate with libpcap)
- LinkChecker (library for server pages checking)
- WebScraping (Python script that used to collect live data)
Other supported features in Networking:
- Python package index-PyPI (software repository of high Python packages)
- Google and Python APIs (geolocation extraction)
- nmap (tool for network port scanning)
- Socket programming (fetch IP address of the local system)
Python Networking Tools and Usage:
- Dirtbags py-cap: without the use libpcap, pcap files can be read
- Dpkt: used for simple and fast packet creation or parsing
- flowgrep: regular expressions can be used to grep via packet payloads
- Impacket: it extends to include support for high level protocols (SMB, and NMB) and it can decode and craft network packets
- Knock subdomain scan: uses subdomains on a target domain using wordlist
- Libdnet: supports low level networking routines (Ethernet frame transmission and Interface lookup)
- Mallory: non-standard protocols support on the fly and it extends with TCP/UDP man-in-the-middle proxy.
- Pytbull: testing framework flexible in IDS or IPS which dispatched with 300+tests
- Pcapy, Pypcap, Pylibpcap: different Libpcap Python bindings which is known as module/Script/Library
- Pynids: Python libnids wrapper that provides various functionalities like port scan detection, IP defragmentation, sniffing, TCP stream reassembly, etc.
- Scapy: usable and interactive library that used to transmit, dissect, send, forge network packets.
Major Research Areas:
Mobile Ad Hoc Network:
- sim2net 3.1.2 (Simple Network Simulator) is a simulator for simulating and modeling mobile ad hoc networks
- Install sim2net 3.1.2 using
- $ sudo pipinstall sim2net
- Clone project by:
- $ git clone firstname.lastname@example.org:mkalewski/sim2net.git sim2net
- $ cd sim2net
- Run using: $ sudo python setup.py install
- Example run in terminal:
$ sim2net –i.
$ sim2net ./configuration.py./application.py
- It support Python-Can library for providing general abstractions to several different hardware devices (Raspberry PI/BeagleBone) and this library can compatible with any environment.
- Install Python-Can using $ pip install python-can
- Linux kernels (2.6.25/any latest version) with SOCKETCAN
- For latest windows install Kvaser’s CANlib drivers
- For latest windows install IXXAT’s install VCI V3 SDK drivers
Cognitive Radio Networks:
- Wireless Testbed is a Python based control applications that can be run on open wireless networks experimental testbeds.
- GNU Radio module that support both wireless communications and real-world radio systems
- Install the following Python packages:
-lxml, requests, docopt, beautifulsoup4, and sh
Long Term Evolution Networks:
- Pyltesim module used for LTE network simulation
- PyLTEs framework allows to evaluate LTE model of protocols or approach or mechanisms
- Python (Python 3.5)
- Numpy, Matplotlib, Scipy
- ipopt or pyipopt
- recommended: virtualenv
- Mobly 1.5 testing automation framework that supports complex end-to-end test in mobile or networking space or IoT. It can be run on Python 2.7, 3.4 or above
- Windows 7 or above
- MacOS 10.6 or above
- Ubuntu 14.04 or above
Recent Python Networking Projects Titles:
- A novel study of Secure and Efficient Authentication Mechanism Applied by Cognitive Radio Networks
- An effective mechanism for Random, Persistent, and Adaptive Spectrum Sensing Strategies of Multiband Spectrum Sensing by Cognitive Radio Networks based on Secondary User Hardware Limitation
- An effective mechanism for Spectrum Fragment Agile Broadcast by Cognitive Radio Networks
- A novel study of Cooperative jamming based enhancing security for cognitive radio networks by multiple primary users
- An effective mechanism for Radio Access Protocols in Multi-User Detection of URLLC by 5G
- A new mechanism for Computational SS and conversion protocols based on both active and passive settings
- An effective mechanism for G-TCP in next generation transport protocol
- An effective performance for Time saving protocol of data accessing by cloud computing
- An effective mechanism for Optimal dynamic routing protocols by agro-sensor communication based MANETs
- An efficient mechanism for Zadoff-chu sequence based on initial synchronization by multipurpose MANET devices
- A new mechanism for Impact of hello interval and link change ratio based on throughput by MANETs
- A new mechanism for greedy and neighbor aware data forwarding protocol by named data in MANETs
- A new source of Multi-Band Carrier Aggregated based on Nonlinear LTE-A System
- An effective performance for Optimum Radio Resource Management based on Carrier Aggregation in LTE-Advanced Systems
- A novel technology of Optimizing Energy Efficiency Over by Energy-Harvesting LTE Cellular Networks
- A novel technique of Estimation for maximal number in simultaneous video streaming sessions by LTE-Advanced
We afore mentioned some of the advanced information about Python Networking Projects. We also provide ingenious research ideas, innovative strategies & algorithm support, research paper publication support etc. You can ring us for any kind of support. We are always standing behind you to support in every stage.