A practical hands-on approach to database forensics / Nhien-An Le-Khac, Kim-Kwang Raymond Choo.
2022
HV8078.7
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Details
Title
A practical hands-on approach to database forensics / Nhien-An Le-Khac, Kim-Kwang Raymond Choo.
ISBN
9783031161278 (electronic bk.)
3031161270 (electronic bk.)
3031161262
9783031161261
3031161270 (electronic bk.)
3031161262
9783031161261
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xiv, 291 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-16127-8 doi
Call Number
HV8078.7
Dewey Decimal Classification
363.250285
Summary
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. .
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Series
Studies in big data ; v. 116.
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Table of Contents
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.
PyBitmessage database investigation
Data Loss analysing
IoT Database Forensics - Ring Doorbell case
Web browser database analysing - Chrome case.