Library for detecting abnormal HTTP-packets using one of the methods listed below.
Project description
anomaly_detection_methods
2 methods for analyzing network traffic:
- Signature-based,
- ML-based
To be updated soon...
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dre4my_detection-0.1.2.tar.gz
(97.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dre4my_detection-0.1.2.tar.gz.
File metadata
- Download URL: dre4my_detection-0.1.2.tar.gz
- Upload date:
- Size: 97.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d643513813e52b73d74a19341fde4dae3b546120742122fdf5ce766ca074afc6
|
|
| MD5 |
bab3398b6f181bf85135bb2be4a50f9a
|
|
| BLAKE2b-256 |
b8b3b44f130678ec428a14e3c275e9c0e5cb931f110aca8a1b725c310eadbff7
|
File details
Details for the file dre4my_detection-0.1.2-py3-none-any.whl.
File metadata
- Download URL: dre4my_detection-0.1.2-py3-none-any.whl
- Upload date:
- Size: 100.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e19db0a4627e81ce0945fb1a9c59382da9dd98f3dd1401425202b365bd6d97ef
|
|
| MD5 |
96da56601e0f2fbe4fb275e4eeb272a8
|
|
| BLAKE2b-256 |
c5731aaf7de25f57a46ccc93f54953bde8bf047438b08bbe51eea477a08aedbc
|
