Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology
Autor Chet Hosmeren Limba Engleză Paperback – 31 oct 2024
- 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
- Delves into extensive machine learning integration with the Python ecosystem, integration of Python with Generative Pre Trainer-Transformers such as GPT-3, ChatGPT, and other new and emerging applications of Python to digital forensics
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Specificații
ISBN-13: 9780443222337
ISBN-10: 0443222339
Pagini: 400
Dimensiuni: 191 x 235 mm
Ediția:2
Editura: ELSEVIER SCIENCE
ISBN-10: 0443222339
Pagini: 400
Dimensiuni: 191 x 235 mm
Ediția:2
Editura: ELSEVIER SCIENCE
Cuprins
1. The evolution of Python for investigative acquisition and analysis
2. Integrating advanced 3rd Party Libraries for Machine Learning, Natural Language Processing, eDiscovery, GPT, social media and malware investigations
3. Integrating Python with forensics and cyber security platforms
4. Forensics Searching using regular expressions, YARA rules, targeting static and dynamic environments including Web and Social Platforms
5. Analysis of photographic images for the identification of fake photos, deep fake videos/audio, and data hiding methods
6. Extracting and analyzing time of static and dynamic evidence sources including social platforms
7. Extracting meaning and sentiment from news stories, tweets, and other social media communications
8. Performing packet capture and deep packet analysis
9. Gathering open-source intelligence from social platforms and eDiscovery applications
10. Python Forensics in the Cloud
11. Integrating Python with GPT-3 and ChatGPT
12. Applying Python and Machine Learning within forensic investigations. Identifying fake news, Spear Phishing, GPT generated text, echo chambers, and propaganda
13. What is ahead for Python and Forensics
2. Integrating advanced 3rd Party Libraries for Machine Learning, Natural Language Processing, eDiscovery, GPT, social media and malware investigations
3. Integrating Python with forensics and cyber security platforms
4. Forensics Searching using regular expressions, YARA rules, targeting static and dynamic environments including Web and Social Platforms
5. Analysis of photographic images for the identification of fake photos, deep fake videos/audio, and data hiding methods
6. Extracting and analyzing time of static and dynamic evidence sources including social platforms
7. Extracting meaning and sentiment from news stories, tweets, and other social media communications
8. Performing packet capture and deep packet analysis
9. Gathering open-source intelligence from social platforms and eDiscovery applications
10. Python Forensics in the Cloud
11. Integrating Python with GPT-3 and ChatGPT
12. Applying Python and Machine Learning within forensic investigations. Identifying fake news, Spear Phishing, GPT generated text, echo chambers, and propaganda
13. What is ahead for Python and Forensics
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
"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
"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
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.