GithubHelp home page GithubHelp logo

bestrongok / malicious-traffic-classification Goto Github PK

View Code? Open in Web Editor NEW
29.0 1.0 5.0 255 KB

Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.

PowerShell 16.90% Python 11.66% Jupyter Notebook 71.44%
traffic-classification deep-learning tensorflow2 malicious-traffic

malicious-traffic-classification's People

Contributors

alexanderpublic avatar bestrongok avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

malicious-traffic-classification's Issues

splicap參數

0411

想請問splicap指令中的切割參數,-p 500 -b 50000,是如何決定此數字的?

OS問題

想請問這個程式是在Windows還是Linux上執行的?

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.