Integrating Python with Leading Computer Forensics Platforms is popular PDF and ePub book, written by Chet Hosmer in 2016-09-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Integrating Python with Leading Computer Forensics Platforms can be Read Online from any device for your convenience.
Integrating Python with Leading Computer Forensics Platforms Book PDF Summary
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
Detail Book of Integrating Python with Leading Computer Forensics Platforms PDF
- Author : Chet Hosmer
- Release : 26 September 2016
- Publisher : Syngress
- ISBN : 9780128099506
- Genre : Computers
- Total Page : 218 pages
- Language : English
- PDF File Size : 13,7 Mb
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