Spaces:
Running
Running
File size: 862 Bytes
3d181b1 4ddf4fa 03e4ce7 3d181b1 4ddf4fa 3d181b1 4ddf4fa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
title: C2Sentinel
emoji: 🛡️
colorFrom: red
colorTo: gray
sdk: docker
pinned: false
license: mit
models:
- danielostrow/c2sentinel
---
# C2Sentinel Demo
Interactive demo for C2Sentinel - a machine learning model for detecting Command and Control (C2) beacon communications in network traffic.
## Features
- Analyze network connection patterns for C2 activity
- Preset examples for common scenarios (C2 beacons, legitimate traffic)
- Adjustable detection threshold
- Detailed risk factor analysis
## Usage
1. Paste connection data as JSON or select a preset example
2. Adjust the detection threshold if needed
3. Click "Analyze" to run the model
## Model
See the [C2Sentinel model repository](https://huggingface.co/danielostrow/c2sentinel) for full documentation.
**Author:** Daniel Ostrow | [neuralintellect.com](https://neuralintellect.com)
|