DuseTrive/Anomaly-Based-NID-using-svm

This project uses SVM and AI to create an efficient tool for detecting network anomalies and securing critical network infrastructures.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 1 / 25

Maturity 9 / 25

Community 12 / 25

Stars

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Mar 27, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DuseTrive/Anomaly-Based-NID-using-svm"

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

Higher-rated alternatives

GACWR/OpenUBA

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for...

nfstream/nfstream

NFStream: a Flexible Network Data Analysis Framework.

CESNET/cesnet-datazoo

CESNET DataZoo: A toolset for large network traffic datasets

echowei/DeepTraffic

Deep Learning models for network traffic classification

faucetsdn/poseidon

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire...