Learning JavaScript Data Structures And Algorithms, 4th Edition Early Access

[Farid-Khan]

2025 | English | 9781836205395 | EPUB | 572 pages | 5 MB​

Learning JavaScript Data Structures and Algorithms - B22494_08 (for jack saprro) (2024)
Publisher: Packt Publishing

Practical guidance on evidence acquisition, from physical images to logical backups, using open-source tools and leading commercial solutions

Key Features
Delve into iOS and Android internals, grasping file systems, database formats, and app data storage for deep mobile forensics understanding
Master advanced decoding for social media, messaging, email, and geolocation apps
Reinforce skills with hands-on exercises for confident, court-ready reports
Book Description
Unlock the secrets hidden within smartphones and tablets with "Learn Mobile Forensics," an indispensable guide providing end-to-end coverage of techniques and tools for extracting and analysing evidentiary data from iOS and Android devices. This practical handbook is designed for forensic examiners, computer security professionals, researchers, and anyone seeking a deeper understanding of mobile internals.

Distinguishing itself from other resources, this book focuses on decoding and extracting artifacts from mobile applications. It goes beyond surface-level overviews, offering advanced instructions for interpreting database files and artifacts associated with popular apps. The guide also dedicates an entire chapter to critical legal and ethical considerations, providing clear guidance on maintaining evidentiary integrity and handling personal data ethically.

Whether you are assessing WhatsApp message databases or extracting geolocation tracks from Facebook, "Mobile Forensics" equips you with specialized techniques to uncover crucial app forensic evidence. Stay ahead in the evolving field of mobile forensics with this comprehensive and practical guide.

Contents of Download:
Learning JavaScript Data Structures And Algorithms.epub (2024) (4.58 MB)

️ Learning JavaScript Data Structures And Algorithms, 4th Edition Early Access (4.58 MB)

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