Downloads · 30 days
0
ids-cnn-cicids2017
saidimn/ids-cnn-cicids2017
ids-cnn-cicids2017 is a machine learning model from saidimn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Two-stage deep learning for network intrusion detection.
Access
Public
Updated May 23, 2026
Repo size
2.9 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth2.9 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- May 23, 2026
- Updated
- May 23, 2026
- SHA
- d5207a24
Spaces
Model card
From the Hugging Face model README
IDS CNN-1D Hybrid Pipeline
Two-stage deep learning for network intrusion detection.
Files
| File | Description |
|---|---|
| cnn1d_binary.pth | Binary classifier (BENIGN vs ATTACK) |
| cnn1d_attacks_only.pth | Attack type classifier (14 classes) |
| scaler.pkl | Feature scaler |
| label_encoder_attacks.pkl | Label encoder |
Attack Classes
DoS Hulk, DoS GoldenEye, DoS slowloris, DoS Slowhttptest, DDoS, PortScan, FTP-Patator, SSH-Patator, Bot, Web Attack - Brute Force, Web Attack - XSS, Web Attack - SQL Injection, Infiltration, Heartbleed
Usage
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="saidimn/ids-cnn-cicids2017", filename="cnn1d_binary.pth")
- License
- mit
- Created
- May 23, 2026
- Updated
- May 23, 2026