02701nam 2200445 450 991058330330332120200721073149.10-12-809950-X(CKB)3710000000892325(CaSebORM)9780128099506(MiAaPQ)EBC4698163(PPN)197277411(EXLCZ)99371000000089232520161011h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierIntegrating Python with leading computer forensics platforms /Chet Hosmer1st editionAmsterdam, [Netherlands] :Syngress,2017.©20171 online resource (218 pages) illustrations, photographs0-12-809949-6 Includes bibliographical references at the end of each chapters and index.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 PlatformsPython (Computer program language)Computer crimesInvestigationPython (Computer program language)Computer crimesInvestigation.005.133Hosmer Chet865893MiAaPQMiAaPQMiAaPQBOOK9910583303303321Integrating Python with leading computer forensics platforms2156294UNINA