A library for collection of IDS and tools for evaluating them
Project description
Titli
Artificial Intelligence based Intrusion Detection Systems
Installation
pip install titli
Usage
- Step 1: Copy the
examples/train_ids.pyandexamples/test_ids.pyfile from the repo to your local machine. - Step 2: Run both the files to train and test the Kitsune IDS respectively.
Todo (Developer Tasks)
- Check if RMSE is used for loss or just the difference.
- Put Kitsune code into the base IDS format.
- Write code to evaluate the model and calculate all the metrics.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
titli-0.0.5.tar.gz
(19.6 kB
view details)
Built Distribution
titli-0.0.5-py3-none-any.whl
(22.6 kB
view details)
File details
Details for the file titli-0.0.5.tar.gz.
File metadata
- Download URL: titli-0.0.5.tar.gz
- Upload date:
- Size: 19.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4e2471465270d5e444ffede421e609b5c086d49a97844659695ce7297afc8144 |
|
| MD5 | 83a8ec1b029ae9f6faaeb3f66f22d1c8 |
|
| BLAKE2b-256 | a5f1070bcc1ab5f3976c383171a6aa0fd93e92970d0f1a29e2195829e916132b |
File details
Details for the file titli-0.0.5-py3-none-any.whl.
File metadata
- Download URL: titli-0.0.5-py3-none-any.whl
- Upload date:
- Size: 22.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 82dbbb5aebe08c667f24f453c31f3342fe0938d5df975b35015f2818bc770373 |
|
| MD5 | 3b75c5a57d7316ea18fe526d663396de |
|
| BLAKE2b-256 | 8cf48bf550e6a8fc6c1d5298d0b586a10ba992e694293f7971ad3935bebf3cd9 |
