Digital Evidence Acquisition and Analysis Techniques
( 30 Modules )

Module #1
Introduction to Digital Forensics
Overview of digital forensics, importance of digital evidence, and principles of digital evidence acquisition and analysis

Module #2
Types of Digital Evidence
Understanding different types of digital evidence, including computer forensics, network forensics, and mobile device forensics

Module #3
Digital Evidence Acquisition Methods
Introduction to digital evidence acquisition methods, including physical, logical, and virtual acquisition

Module #4
Acquiring Evidence from Windows Systems
Hands-on exercise:Acquiring evidence from Windows systems using various tools and techniques

Module #5
Acquiring Evidence from Linux and macOS Systems
Hands-on exercise:Acquiring evidence from Linux and macOS systems using various tools and techniques

Module #6
Acquiring Evidence from Mobile Devices
Hands-on exercise:Acquiring evidence from mobile devices using various tools and techniques

Module #7
Networking Fundamentals for Digital Forensics
Understanding networking protocols and devices, and their role in digital forensics

Module #8
Acquiring Network-Based Evidence
Hands-on exercise:Acquiring network-based evidence using packet sniffers and network forensics tools

Module #9
Data Recovery and Carving
Understanding data recovery and carving techniques, and their application in digital forensics

Module #10
File System Analysis
Understanding file system structures and analysis techniques, including file metadata and timestamp analysis

Module #11
Windows Registry Analysis
Understanding Windows registry structures and analysis techniques, including user account and system configuration analysis

Module #12
Memory Forensics
Understanding memory forensics, including memory acquisition and analysis techniques

Module #13
Email and Messaging Analysis
Understanding email and messaging protocols, and their analysis in digital forensics

Module #14
Image and Video Analysis
Understanding image and video analysis techniques, including steganography and digital watermarking

Module #15
Network Traffic Analysis
Understanding network traffic analysis techniques, including protocol analysis and anomaly detection

Module #16
Cloud Forensics
Understanding cloud forensics, including cloud storage and application analysis

Module #17
Artifacts and Timeline Analysis
Understanding artifact analysis and timeline reconstruction in digital forensics

Module #18
Reporting and Presentation of Digital Evidence
Best practices for reporting and presenting digital evidence in a court of law

Module #19
Legal and Ethical Considerations in Digital Forensics
Understanding legal and ethical considerations in digital forensics, includingChain of Custody and E-Discovery

Module #20
Advanced Topics in Digital Forensics
Exploring advanced topics in digital forensics, including AI-powered digital forensics and IoT forensics

Module #21
Digital Forensics Tools and Techniques
Hands-on exercise:Using various digital forensics tools and techniques, including open-source and commercial tools

Module #22
Case Studies in Digital Forensics
Real-world case studies in digital forensics, including malware analysis and incident response

Module #23
Incident Response and Containment
Understanding incident response and containment strategies, including threat hunting and remediation

Module #24
Digital Forensics in the Cloud
Understanding digital forensics in cloud environments, including cloud-based evidence acquisition and analysis

Module #25
Cybersecurity and Digital Forensics
Understanding the relationship between cybersecurity and digital forensics, including threat hunting and incident response

Module #26
Digital Forensics and Incident Response Team Management
Understanding digital forensics and incident response team management, including role definition and communication strategies

Module #27
Digital Forensics Tools and Techniques for Mobile Devices
Hands-on exercise:Using various digital forensics tools and techniques for mobile devices

Module #28
Digital Forensics in IoT Environments
Understanding digital forensics in IoT environments, including IoT device analysis and network forensics

Module #29
Digital Forensics and Artificial Intelligence
Exploring the application of artificial intelligence in digital forensics, including machine learning and deep learning

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Digital Evidence Acquisition and Analysis Techniques career

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Digital Evidence Acquisition and Analysis Techniques ( 30 Modules )

Digital Evidence Acquisition and Analysis Techniques
( 30 Modules )