Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology
Autor Chet Hosmeren Limba Engleză Paperback – 9 iun 2014
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
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Specificații
ISBN-10: 0124186769
Pagini: 352
Ilustrații: black & white illustrations, black & white tables, figures
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.73 kg
Editura: ELSEVIER SCIENCE
Public țintă
Cybercrime and digital forensic investigators, forensic analysts, software developers, e-discovery researchers, security managers. Secondary audience post graduate and undergraduate students.Cuprins
2. creating a Python Forensics Workbench
3. Let’s Write Our First Python Forensics App
4. Effective Forensic Searching and Indexing using Python
5. Evidence Carving with Python
6. Timeline Evidence with Python
7. Natural Language Processing of Evidence using Python
8. Examining Mobile Device Evidence with Python
9. Log File Analysis
10. Python Scripts for Network Investigation
11. Investigating the Cloud
12. Future Expansion
Recenzii
"Overall, the book is well laid out. The first few chapters cover some important forensic challenges. The code is easy to follow and well commented." --Help Net Security, December 2014
Notă biografică
Chet Hosmer is a retired Assistant Professor of Practice at the University of Arizona and now serves as a Designated Campus Colleague. He previously taught in the Cybersecurity Graduate Program at Utica College and is the founder of Python Forensics, a nonprofit research and educational institution dedicated to advancing investigative capabilities through innovative research and specialized Python tools.
A recognized authority on emerging cyber threats, Chet has been featured by NPR, ABC News, Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon, and Wired. He is the author of seven books published by Elsevier and Apress covering passive cyber defense for OT environments, Python and PowerShell for investigators, data hiding and steganography, and IoT security. He has also delivered Congressional testimony before the House Science Committee on cybersecurity education.