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Practical Hands-on Approach to Database Forensics 2022 ed. [Kõva köide]

  • Formaat: Hardback, 291 pages, kõrgus x laius: 235x155 mm, kaal: 685 g, 192 Illustrations, color; 26 Illustrations, black and white; XIV, 291 p. 218 illus., 192 illus. in color., 1 Hardback
  • Sari: Studies in Big Data 116
  • Ilmumisaeg: 23-Oct-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031161262
  • ISBN-13: 9783031161261
Teised raamatud teemal:
  • Kõva köide
  • Hind: 159,88 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 188,09 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
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  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 291 pages, kõrgus x laius: 235x155 mm, kaal: 685 g, 192 Illustrations, color; 26 Illustrations, black and white; XIV, 291 p. 218 illus., 192 illus. in color., 1 Hardback
  • Sari: Studies in Big Data 116
  • Ilmumisaeg: 23-Oct-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031161262
  • ISBN-13: 9783031161261
Teised raamatud teemal:
Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application. Databases hold important, sensitive, and/or confidential information and are a crucial source of evidence in any digital investigation. This also reinforces the importance of keeping up to date on the cyber-threat landscape as well as any associated database forensic challenges and approaches. The book also guides cyber-forensic researchers, educators, and practitioners through the process of conducting database forensics and investigations on mobile devices, Internet of Things (IoT) devices, web browsers, and end-to-end encrypted instant messaging applications. Given the fast-changing database forensics landscape, this book will be of interest to researchers, educators, and practitioners in the field, as well as students who want to learn about the database investigation.





 
Signal IM App database analysing.-qTox E2EE Database
Forensics.- PyBitmessage database investigation.- Data Loss analysing.- IoT
Database Forensics - Ring Doorbell case.- Web browser database analysing -
Chrome case.