
Python Forensics
A Workbench for Inventing and Sharing Digital Forensic Technology
Chet Hosmer(Autor*in)
Syngress (Verlag)
Erschienen am 19. Mai 2014
352 Seiten
978-0-12-418683-5 (ISBN)
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Beschreibung
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
- Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately
- Discusses how to create a Python forensics workbench
- Covers effective forensic searching and indexing using Python
- Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8
- Presents complete coverage of how to use Python scripts for network investigation
Weitere Details
Sprache
Englisch
Verlagsort
San Diego
USA
Verlagsgruppe
Elsevier Science & Techn.
ISBN-13
978-0-12-418683-5 (9780124186835)
Schweitzer Klassifikation
Weitere Ausgaben
Person
Chet Hosmer serves as an Assistant Professor of Practice at the University of Arizona in the Cyber Operations program, where he is teaching and researching the application of Python and Machine Learning to advanced cybersecurity challenges. Chet is also the founder of Python Forensics, Inc. a non-profit organization focused on the collaborative development of open-source investigative technologies using Python and other popular scripting languages. Chet has made numerous appearances to discuss emerging cyber threats including NPR, ABC News, Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com, and Wired Magazine. He has 7 published books with Elsevier and Apress that focus on data hiding, passive network defense strategies, Python Forensics, PowerShell, and IoT.
Inhalt
1. Why Python Forensics2. creating a Python Forensics Workbench3. Let's Write Our First Python Forensics App4. Effective Forensic Searching and Indexing using Python5. Evidence Carving with Python6. Timeline Evidence with Python7. Natural Language Processing of Evidence using Python8. Examining Mobile Device Evidence with Python9. Log File Analysis10. Python Scripts for Network Investigation11. Investigating the Cloud12. Future Expansion
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