ole-knf/A-bidirectional-GPT-approach-for-detecting-malicious-network-traffic

This approach of Intrusion Detection uses two GPT models, which are trained on normal network traffic, to predict sequences of communication patterns and thereby score network packets.

20
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 1 / 25
Community 14 / 25

How are scores calculated?

Stars

11

Forks

3

Language

Python

License

Last pushed

Oct 03, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/ole-knf/A-bidirectional-GPT-approach-for-detecting-malicious-network-traffic"

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