Integrating Python with Leading Computer Forensics Platforms - Softcover

Hosmer, Chet

 
9780128099490: Integrating Python with Leading Computer Forensics Platforms
Softcover
ISBN 10: 0128099496 ISBN 13: 9780128099490
Verlag: Syngress, 2016

Inhaltsangabe

Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms.

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Über die Autorin bzw. den Autor

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.

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Verlag
Syngress
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
0128099496
ISBN 13 
9780128099490
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
216
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar