Skip to content

trustathsh/ids-evaluation-IEEE-big-data

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ids-evaluation-IEEE-big-data

Evaluation code used during the creation of the paper titled 'On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection' [1].

Usage

  • Install Python 3.8
  • Install packages from requirements.txt
  • Run main.py (add/remove models or datasets by editing this file)

References

[1] F. Heine, T. Laue and C. Kleiner, "On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection", 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 4594-4603, doi: 10.1109/BigData50022.2020.9378479.

About

Evaluation code used during the creation of the paper titled 'On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection'.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages