Sinaeskandari/Improving-5GIDS-Synth-Data-Transformers

Improving 5G Intrusion Detection with Synthetic Data and Transformer-Based Classification

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 4 / 25

Maturity 8 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Nov 08, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Sinaeskandari/Improving-5GIDS-Synth-Data-Transformers"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

AIS-Package/aisp

Artificial Immune Systems Package (AISP) is an open-source Python library that features...

ubc-provenance/PIDSMaker

A framework for building provenance-based intrusion detection systems with neural networks

Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms...

zimingttkx/Network-Security-Based-On-ML

abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach