GithubHelp home page GithubHelp logo

dnsprotocol's Introduction

Analysis of DNS Protocol

Analysing and visualising the DNS packets to bring out insights of a DNS session using Python ,Scapy and few visualising tools.
First , we need to make a data set for this analysis so we have written a python script for this . Using the scapy library in python extracting the DNS packets in a session was done .
Next the following data is being exported to an Excel sheet and is sent for analysis.

In following jupyter notebook the images are not shown but its being included here


On query 18 we are displaying the common types of Request-Response , the graph for it is displayed below.
alt text

On query 20 we are displaying the the Top Talkers. alt text

On query 23 we are displaying the The number of Resquest-Response packets during a DNS session . alt text

All the insights have been shown in the jupyter notebook.

dnsprotocol's People

Contributors

vaishnavpuram27 avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.