Data Science for Digital Forensics & Incident Response (DFIR)

Conference: ODSC EAST 2022

Speakers:
Jess Garcia - j3ssgarcia - Lead DFIR Analyst/CEO, One eSecurity
David Contreras - dcontrerasDS - Senior Forensics Analyst, One eSecurity

Title: Data Science for Digital Forensics & Incident Response (DFIR)

Abstract:

There is no doubt that Data Science is a powerful weapon for analyzing many types of data, and DFIR data is no exception.
DFIR data (Logs, Artifacts, Network Traffic, etc.) can be transformed from its typical proprietary format to json or csv by means of computer forensic tools, making it ready for powerful analytic Data Science tools (Jupyter, pandas, matplotlib, etc.). But… can you solve a Digital Forensics Investigation using just Data Science tools? What are the advantages? How can you do it?
In this workshop, which is directed to both a Data Science audience who may want to learn DFIR, and a DFIR audience who may want to learn Data Science, Jess Garcia will explain the fundamentals of Data Science and DFIR, and will lead the audience through all the different steps of an end-to-end investigation using exclusively Data Science tools and techniques. In the process, Jess will introduce multiple forensic artifacts and will explain the value they provide to the overall investigation.
Jess will also introduce CHRYSALIS, a framework created by the DS4N6 community to bridge the Data Science and DFIR worlds, and will use the powerful capabilities it provides for reading, processing and analyzing DFIR data in order to facilitate and speed up the analysis and solve the case.

Downloads:

• DAISY (DFIR Data Science & AI) is a Virtual Machine designed to carry out Data Science and Machine/Deep Learning Analysis on DFIR data. Click here to get all the information and download it.
• Presentation: You can download the presentation here
• Post-conference Blog Post: ODSC East 2022 - "Data Science for Digital Forensics & Incident Response (DFIR)"