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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:
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Develop new forensic solutions independent of large vendor software release schedules
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Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools
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Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems
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Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately
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Discusses how to create a Python forensics workbench
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Covers effective forensic searching and indexing using Python
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Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8
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Presents complete coverage of how to use Python scripts for network investigation
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The Computer Contradictionary: 2nd Edition"Ascertain the meaning before consulting this dictionary," warns the author of this collection of deliberately satirical misdefinitions. New computer cultures and their jargons have burgeoned since this book's progenitor, The Devil's DP Dictionary, was published in 1981. This updated version of Stan... | | Automated Trading with R: Quantitative Research and Platform Development
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.
Automated Trading with R explains automated trading, starting with its... | | Peer-to-Peer File Sharing and Secondary Liability in Copyright LawThis timely volume offers a comprehensive review of case law, in various jurisdictions, on secondary liability for copyright infringement, particularly P2P file sharing and online infringements.
Moreover, the book includes forward-looking contributions of prominent academics from the US and the EU, which provide original perspectives on... |
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