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-13: 9780124186767
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
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
1. Why Python Forensics
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
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
"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 2014
"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
"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 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.