Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology, Second Edition provides never-before-published, proven forensic modules, libraries, and turnkey solutions. In addition, detailed instruction and documentation provided with the code samples allow even novice Python programmers to add their own unique twists. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. This updated edition addresses new and emerging needs of the Digital Forensics professional, including expanded integration of Python into forensics and cybersecurity platforms; extensive machine learning integration with the Python ecosystem; using Python for deep packet inspection investigations; using Python for the gathering and analysis of Open-Source Intelligence (OSINT) investigations; using Python during eDiscovery investigations; integration of Python with Generative Pre Trainer-Transformers such as GPT-3, ChatGPT, and others; extraction and interaction with social media platforms; integration and access to Virus Total and other Internet resources; and YARA rule processing with Python.

About the Author
Chet Hosmer serves as an Assistant Professor of Practice at the University of Arizona in the Cyber Operations program, where he is teaching and researching the application of Python and Machine Learning to advanced cybersecurity challenges. Chet is also the founder of Python Forensics, Inc. a non-profit organization focused on the collaborative development of open-source investigative technologies using Python and other popular scripting languages. Chet has made numerous appearances to discuss emerging cyber threats including NPR, ABC News, Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com, and Wired Magazine. He has 7 published books with Elsevier and Apress that focus on data hiding, passive network defense strategies, Python Forensics, PowerShell, and IoT.

Reviews
"Covering a panoply of techniques from search to network forensics, reading this book will expand the reader's understanding of both forensics and the Python libraries." --Computing Reviews "Overall, the book is well laid out. The first few chapters cover some important forensic challenges. The code is easy to follow and well commented." --Help Net Security



Book Information
ISBN 9780443222337
Author Chet Hosmer
Format Paperback
Page Count 400
Imprint Syngress
Publisher Syngress