(Ebook) Python Digital Forensics Cookbook: Effective Python recipes for digital investigations by Preston Miller, Chapin Bryce ISBN 9781783987467, 1783987464

(Ebook) Python Digital Forensics Cookbook: Effective Python recipes for digital investigations by Preston Miller, Chapin Bryce ISBN 9781783987467, 1783987464

Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations.About This Book- Develop code that extracts vital information from everyday forensic acquisitions. - Increase the quality and efficiency of your forensic analysis.- Leverage the latest resources and capabilities available to the forensic community.Who This Book Is ForIf you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis.What You Will Learn- Understand how Python can enhance digital forensics and investigations- Learn to access the contents of, and process, forensic evidence containers- Explore malware through automated static analysis- Extract and review message contents from a variety of email formats- Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs)- Delve into mobile forensics and recover deleted messages from SQLite databases- Index large logs into a platform to better query and visualize datasets In DetailTechnology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations.