Learn how to improve network security by leveraging data. Learn about data collection, network forensics, and how to use machine learning and visualization to process network data.
Overview
Syllabus
Introduction
- Welcome
- What you should know
- Network security
- Firewalls
- VPNs
- Intrusion detection and prevention systems
- Vulnerability management systems and security information and event management (SIEM)
- Use network data to improve security
- Packet Capture
- Firewall logs
- IDS and IPS data
- Vulnerability management system and SIEM data
- Application data
- Operating system (OS) data
- Use log servers to collect data
- Collect packet sniffer data
- Collect IDS and IPS data
- Collect vulnerability management system and SIEM data
- Collect application data
- Collect OS data
- Machine learning to process network data
- Machine learning to detect a network anomaly
- Azure machine learning service
- Detect network anomalies using the Azure machine learning service
- Network forensics
- Use data science to conduct a network forensics investigation
- Network security visualization
- Visualization targets
- Visualization steps
- Use data visualization tools
- Learn by example
- Next steps
Taught by
Jungwoo Ryoo
