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A Practical Hands-on Approach to Database Forensics / / by Nhien-An Le-Khac, Kim-Kwang Raymond Choo



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Autore: Le-Khac Nhien-An Visualizza persona
Titolo: A Practical Hands-on Approach to Database Forensics / / by Nhien-An Le-Khac, Kim-Kwang Raymond Choo Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (302 pages)
Disciplina: 005.8
Soggetto topico: Engineering - Data processing
Computational intelligence
Big data
Data Engineering
Computational Intelligence
Big Data
Persona (resp. second.): ChooKim-Kwang Raymond
Nota di contenuto: 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.
Sommario/riassunto: 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. .
Titolo autorizzato: A practical hands-on approach to database forensics  Visualizza cluster
ISBN: 9783031161278
3031161270
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910620201303321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Big Data, . 2197-6511 ; ; 116