1.

Record Nr.

UNINA9910583303303321

Autore

Hosmer Chet

Titolo

Integrating Python with leading computer forensics platforms / / Chet Hosmer

Pubbl/distr/stampa

Amsterdam, [Netherlands] : , : Syngress, , 2017

©2017

ISBN

0-12-809950-X

Edizione

[1st edition]

Descrizione fisica

1 online resource (218 pages) : illustrations, photographs

Disciplina

005.133

Soggetti

Python (Computer program language)

Computer crimes - Investigation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Sommario/riassunto

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



2.

Record Nr.

UNINA9910693665103321

Titolo

Armenia

Pubbl/distr/stampa

Washington, D.C, : The Armenian Refugees Fund

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia