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Course Outline
Introduction
- The need for digital forensics experts
Cybercrime and its Socioeconomic Impact
- Identity theft, cyberbullying, data leakage, distributed denials of service, malware attacks, etc.
Challenges
- Speed, volume, complexity, file formats, privacy, legality
The Anatomy of a Cyberattack
- Tools, programming frameworks, services
Case Study: Ransomware Construction Kits on the Darkweb
Defensive Measures
- Encryption, obfuscation, information hiding, etc.
Forensics Analysis
- Tools and techniques
- Third-party applications
Web Forensics
- Stored data and filesystem analysis, network forensics, and reverse engineering
- Accessing remote servers
- Accessing applications and containers
- Server File Structures: files, databases, etc.
Mobile Forensics
- Stored data and filesystem analysis, network forensics, and reverse engineering
- Acquiring the Physical Devices
- Handling locked devices
- Mobile File Structures: Android and IoS
Retrieving User Activity Information
- Extracting and parsing data
Inspecting Datasets
- Traces, network traffic, log files, etc.
Reconstructing Evidence
- Detecting and recovering deleted data
- Automation and its shortcomings
Decoding Evidence
- Decompiling malware and spyware
Detecting Malware and Spyware
Analysis and Reporting
Legal Considerations
- Admissibility of evidence in court
Summary and Conclusion
Requirements
- An general understanding of computer security.
- An understanding of data structures.
Audience
- Network engineers
- Security professionals
- Forensic investigation professionals
- Developers
21 Hours
Testimonials (1)
knowledge of the trainer
