Téléchargez le livre : Integrating Python with Leading Computer Forensics Platforms

Integrating Python with Leading Computer Forensics Platforms

de

Éditeur :

Syngress


Paru le : 2016-09-26

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
53,75 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
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. - Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use - Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT - Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms
Pages
216 pages
Collection
n.c
Parution
2016-09-26
Marque
Syngress
EAN papier
9780128099490
EAN PDF
9780128099506
Informations sur l'ebook
Nombre pages copiables
21
Nombre pages imprimables
21
Taille du fichier
59412 Ko
Prix
53,75 €
EAN EPUB SANS DRM
9780128099506
Informations sur l'ebook
Prix
53,75 €

Suggestions personnalisées