Book description
Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime.
Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms.
- Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use
- Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT
- Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Author Biography
- Preface
- Acknowledgments
- Chapter 1: Integrating Python With Forensics Platforms
- Chapter 2: Key Python Language Elements for Forensics
- Chapter 3: Integrating Python With MPE+
- Chapter 4: Integrating Python With EnCase/EnScripts
- Chapter 5: Integrating Python With Leading Forensic Platforms
- Chapter 6: Integrating Python With Leading Forensic Platforms
- Chapter 7: Future Look and an Integration Challenge Problem
- Index
Product information
- Title: Integrating Python with Leading Computer Forensics Platforms
- Author(s):
- Release date: September 2016
- Publisher(s): Syngress
- ISBN: 9780128099506
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