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")
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