Python forensics: a workbench for inventing and sharing digital forensic technology

Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists o...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Hosmer, Chet (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Waltham, MA Syngress 2014
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9780124186767/?ar
Zusammenfassung:Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. 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.
Beschreibung:Includes index. - Includes bibliographical references and index. - Online resource; title from PDF title page (ScienceDirect, viewed May 30, 2014)
Umfang:1 Online-Ressource
ISBN:9780124186835
0124186831
9781306820547
1306820545
9780124186767