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Books > Computing & IT > Computer communications & networking > Network security
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Mastering Python Forensics (Paperback)
Loot Price: R1,143
Discovery Miles 11 430
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Mastering Python Forensics (Paperback)
Expected to ship within 10 - 15 working days
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Master the art of digital forensics and analysis with Python About
This Book * Learn to perform forensic analysis and investigations
with the help of Python, and gain an advanced understanding of the
various Python libraries and frameworks * Analyze Python scripts to
extract metadata and investigate forensic artifacts * The writers,
Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their
experience to craft this hands-on guide to using Python for
forensic analysis and investigations Who This Book Is For If you
are a network security professional or forensics analyst who wants
to gain a deeper understanding of performing forensic analysis with
Python, then this book is for you. Some Python experience would be
helpful. What You Will Learn * Explore the forensic analysis of
different platforms such as Windows, Android, and vSphere *
Semi-automatically reconstruct major parts of the system activity
and time-line * Leverage Python ctypes for protocol decoding *
Examine artifacts from mobile, Skype, and browsers * Discover how
to utilize Python to improve the focus of your analysis *
Investigate in volatile memory with the help of volatility on the
Android and Linux platforms In Detail Digital forensic analysis is
the process of examining and extracting data digitally and
examining it. Python has the combination of power, expressiveness,
and ease of use that makes it an essential complementary tool to
the traditional, off-the-shelf digital forensic tools. This book
will teach you how to perform forensic analysis and investigations
by exploring the capabilities of various Python libraries. The book
starts by explaining the building blocks of the Python programming
language, especially ctypes in-depth, along with how to automate
typical tasks in file system analysis, common correlation tasks to
discover anomalies, as well as templates for investigations. Next,
we'll show you cryptographic algorithms that can be used during
forensic investigations to check for known files or to compare
suspicious files with online services such as VirusTotal or
Mobile-Sandbox. Moving on, you'll learn how to sniff on the
network, generate and analyze network flows, and perform log
correlation with the help of Python scripts and tools. You'll get
to know about the concepts of virtualization and how virtualization
influences IT forensics, and you'll discover how to perform
forensic analysis of a jailbroken/rooted mobile device that is
based on iOS or Android. Finally, the book teaches you how to
analyze volatile memory and search for known malware samples based
on YARA rules. Style and approach This easy-to-follow guide will
demonstrate forensic analysis techniques by showing you how to
solve real-word-scenarios step by step.
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