Intelligence and Analytics for Cyber Investigation

Day 1: Foundations of Cyber Investigations

• Introduction to cyber investigations and their importance.
• Understanding types of cybercrimes: phishing, ransomware, identity theft, etc.
• Key frameworks for cyber investigations (e.g., DFIR methodology, NIST Incident Response Lifecycle).
• Hands-on session: Mapping the phases of a cyber investigation process.

Day 2: Intelligence Gathering for Cyber Investigations

• Techniques for gathering intelligence from open and closed sources.
• Leveraging OSINT for cybercrime investigations.
• Tools for web scraping and social media monitoring (e.g., Maltego, SpiderFoot).
• Practical activity: Conducting an intelligence-gathering exercise for a simulated incident.

Day 3: Data Analysis and Correlation

• Techniques for analyzing digital evidence and logs.
• Identifying threat patterns and correlating data points across multiple sources.
• Tools for log analysis and correlation (e.g., ELK Stack, Splunk).
• Hands-on session: Analyzing logs to trace a simulated cyber attack.

Day 4: Reporting and Legal Considerations

• Best practices for documenting and presenting findings in cyber investigations.
• Legal and ethical considerations: evidence handling, chain of custody, and privacy laws.
• Real-world case studies of successful cyber investigations.
• Practical session: Creating an investigative report for a simulated cybercrime case.

Day 5: Advanced Applications and Real-World Scenarios

• Using advanced analytics for predictive cybercrime detection.
• Addressing challenges in cross-border and multi-jurisdictional investigations.
• Capstone project: Conducting a complete cyber investigation for a simulated scenario.