Library for detecting abnormal HTTP-packets using one of the methods:
Project description
anomaly_detection_methods
2 methods for analyzing network traffic:
- Signature-based,
- ML-based
To be updated soon...
Project details
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-0.1.1.tar.gz
(96.5 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-0.1.1.tar.gz.
File metadata
- Download URL: dre4my_detection-0.1.1.tar.gz
- Upload date:
- Size: 96.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5af891ea5401f1f5c4df24878ef614ff0e5c4e9ce7e886436dff835a5bb2c6a
|
|
| MD5 |
e7bee28ada1f70573c415849935c0881
|
|
| BLAKE2b-256 |
a213f66664702583130cdcb906cbe2d41c1badca962b569fd8533efc06396f26
|
File details
Details for the file dre4my_detection-0.1.1-py3-none-any.whl.
File metadata
- Download URL: dre4my_detection-0.1.1-py3-none-any.whl
- Upload date:
- Size: 99.8 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 |
c5c79ea05f6ec9c8180c829307489da31702758aa958dfb85e64332e756103b4
|
|
| MD5 |
26e1d30ab9f1e283084203f80e001b78
|
|
| BLAKE2b-256 |
b23c399c528e6c38e9f37b1e0fbd649077bd077ff7fb53dcf1a4ad2a804c4c43
|