DS4N6 stands for Data Science Forensics.

We also refer to this project as DSDFIR, AI4N6 or AIDFIR, since Data Science (DS) includes Artificial Intelligence (AI), and the project goes beyond the strictly Forensics, covering the whole Digital Forensics & Incident Response (DFIR) discipline (and sometimes even beyond). But hey, we had to give the project a catchy name!

The Mission of the DS4N6 project is simple:

Bringing Data Science & Artificial Intelligence
to the fingertips of the average Forensicator,
and promote advances in the field

The first (modest) alpha version of our ds4n6 python library, together with some easy-to-use python scripts, was originally made public after the presentation at the SANS DFIR Summit US, July 16-17. For detailed information about the Project, the Library, its Functions, its Usage, etc., visit the project page: http://www.ds4n6.io/tools/ds4n6.py.html

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

https://github.com/ds4n6/ds4n6_lib.git

Prerequisites

The DS4N6 library works on the 3.x versions of the Python programming language. The module has external dependencies related to datascience and extraction of forensic evidence.

Install pip requirements:

- IPython
- keras
- matplotlib
- numpy
- pandas
- pyparsing
- sklearn
- tensorflow
- ds4n-lib

Installation

Install dependencies:

    pip install IPython keras matplotlib numpy pandas sklearn tensorflow ds4n6-lib

Download ml.py file from github and import in your python3 program or Jupyter Notebook as "ml".

    import ml

Contributing

If you think you can provide value to the Community, collaborating with Research, Blog Posts, Cheatsheets, Code, etc., contact us!

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

download from github

All you will need to do is to clone the library, install the test, create a virtual enviroment to use it and active it.

    
    git clone https://github.com/ds4n6/D4ML   

    virtualenv -p python3.7 .test
    source .test/bin/activate
    
    pip install IPython keras matplotlib numpy pandas sklearn tensorflow ds4n6-lib

Authors

• Jess Garcia - Initial work - http://ds4n6.io/community/jess_garcia.html

See also the list of contributors who participated in this project.

License

This project is licensed under the GNU GPL v3.0 License - see the LICENSE file for details