In this course, you'll gain a solid understanding of mobile device architecture and the file systems of iOS and Android. You'll explore legal and ethical considerations in mobile forensics and delve into mobile device security and encryption. The curriculum includes hands-on practical labs, where you'll use various forensic tools and techniques for data acquisition from iOS and Android devices. You'll learn how to effectively parse and analyze mobile data, conduct mobile cloud data forensics, and address data protection and privacy issues. Additionally, the course covers the application of machine learning and artificial intelligence for analyzing large datasets, providing practical experience with industry-standard tools.
Learning Objectives
Mobile Device Security Principles
Android and iOS Internals
Android and iOS Security Mitigations
Mobile Forensics Fundamentals
iOS Data Acquisition Techniques
iOS Data Analysis Tools and Methods
Advanced iOS Forensic Techniques
Android Architecture and Security Features
Android Data Extraction Methods
Android App Analysis and Reverse Engineering
Hands-On Practice with Practical Labs and Tools
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):