This audiobook is narrated by a digital voice.
¿¿ Dive into the world of iOS Forensics with our comprehensive book bundle: **iOS Forensics 101: Extracting Logical and Physical Data from iPhone, iPad, and Mac OS**! This essential collection comprises four meticulously crafted volumes that will elevate your expertise in digital investigations within Apple's ecosystem.
**Book 1: iOS Forensics 101 - Introduction to Digital Investigations**
Begin your journey with a solid foundation in digital forensics. Explore the intricacies of iOS devices, learn essential methodologies, and grasp legal considerations critical to conducting effective investigations. From understanding device architecture to navigating forensic challenges, this volume prepares you for the complexities ahead.
**Book 2: iOS Forensics 101 - Techniques for Extracting Logical Data**
Unlock the secrets to extracting and analyzing logical data from iPhones, iPads, and Mac OS devices. Discover techniques for accessing iCloud backups, examining app data, and recovering user-generated content.
**Book 3: iOS Forensics 101 - Mastering Physical Data Acquisition**
Take your skills to the next level with advanced methods for acquiring comprehensive physical images of iOS devices. Delve into tools like GrayKey, Cellebrite UFED, and Checkm8 to bypass security measures, extract encrypted data, and capture detailed device images essential for in-depth forensic analysis.
**Book 4: iOS Forensics 101 - Expert Analysis and Case Studies**
Immerse yourself in real-world applications and expert analysis through compelling case studies. Explore diverse scenarios-from cybercrimes to corporate investigations-and witness how forensic methodologies translate into actionable intelligence and courtroom-ready evidence.
¿ Grab your bundle now and embark on a transformative learning experience with **iOS Forensics 101**. Your expertise awaits!
This audiobook is narrated by a digital voice.
¿¿ Dive into the world of iOS Forensics with our comprehensive book bundle: **iOS Forensics 101: Extracting Logical and Physical Data from iPhone, iPad, and Mac OS**! This essential collection comprises four meticulously crafted volumes that will elevate your expertise in digital investigations within Apple's ecosystem.
**Book 1: iOS Forensics 101 - Introduction to Digital Investigations**
Begin your journey with a solid foundation in digital forensics. Explore the intricacies of iOS devices, learn essential methodologies, and grasp legal considerations critical to conducting effective investigations. From understanding device architecture to navigating forensic challenges, this volume prepares you for the complexities ahead.
**Book 2: iOS Forensics 101 - Techniques for Extracting Logical Data**
Unlock the secrets to extracting and analyzing logical data from iPhones, iPads, and Mac OS devices. Discover techniques for accessing iCloud backups, examining app data, and recovering user-generated content.
**Book 3: iOS Forensics 101 - Mastering Physical Data Acquisition**
Take your skills to the next level with advanced methods for acquiring comprehensive physical images of iOS devices. Delve into tools like GrayKey, Cellebrite UFED, and Checkm8 to bypass security measures, extract encrypted data, and capture detailed device images essential for in-depth forensic analysis.
**Book 4: iOS Forensics 101 - Expert Analysis and Case Studies**
Immerse yourself in real-world applications and expert analysis through compelling case studies. Explore diverse scenarios-from cybercrimes to corporate investigations-and witness how forensic methodologies translate into actionable intelligence and courtroom-ready evidence.
¿ Grab your bundle now and embark on a transformative learning experience with **iOS Forensics 101**. Your expertise awaits!
iOS Forensics 101: Extracting Logical And Physical Data From iPhone, iPad And Mac OS
iOS Forensics 101: Extracting Logical And Physical Data From iPhone, iPad And Mac OS
FREE
with a B&N Audiobooks Subscription
Product Details
| BN ID: | 2940190900170 |
|---|---|
| Publisher: | Rob Botwright |
| Publication date: | 07/08/2024 |
| Edition description: | Unabridged |
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