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Python forensics : a workbench for inventing and sharing digital forensic technology

Author: Chet Hosmer; Gary C Kessler
Publisher: Amsterdam ; Boston : Syngress Media Inc, ©2014.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an  Read more...
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Document Type: Book
All Authors / Contributors: Chet Hosmer; Gary C Kessler
ISBN: 0124186769 9780124186767
OCLC Number: 871061531
Notes: Includes index.
Description: xxviii, 318 pages : illustrations ; 24 cm
Contents: Why python forensics? --
Setting up a python forensics environment --
Our first python forensics app --
Forensic searching and indexing using python --
Forensic evidence extraction (JPEG and TIFF) --
Forensic time --
Using natural language tools in forensics --
Network forensics: part I --
Network forensics: part II --
Multiprocessing for forensics --
Rainbow in the cloud --
Looking ahead.
Responsibility: Chet Hosmer ; technical editor: Gary C. Kessler.

Abstract:

Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. 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 you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: Develop new forensic solutions independent of large vendor software release schedules Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems.

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"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,December Read more...

 
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