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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different 2. Python Fundamentals FREE CHAPTER 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

Serialized data structures

Serialization is a process whereby data objects are preserved during storage on a computer system. Serializing data preserves the original type of the object. That's to say, we can serialize dictionaries, lists, integers, or strings into a file. Sometime later, when we deserialize this file, those objects will still maintain their original data type. Serialization is great because if, for example, we stored script objects to a text file, we wouldn't be able to feasibly reconstruct those objects into their appropriate data types as easily. As we know, reading a text file reads in data as a string.

XML and JSON are the two common examples of plain text-encoded serialization formats. You may already be accustomed to analyzing these files in forensic investigations. Analysts familiar with mobile device forensics will likely recognize application...

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