Data-Driven Network Security Essentials

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Free Online Course: Data-Driven Network Security Essentials provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Data-Driven Network Security Essentials is taught by Jungwoo Ryoo.

Overview
  • 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.

Syllabus
  • Introduction

    • Welcome
    • What you should know
    1. Network Security Review
    • Network security
    • Firewalls
    • VPNs
    • Intrusion detection and prevention systems
    • Vulnerability management systems and security information and event management (SIEM)
    2. Network Data Sources
    • 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
    3. Data Collection
    • 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
    4. Data Analytics
    • 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
    5. Forensics
    • Network forensics
    • Use data science to conduct a network forensics investigation
    6. Visualization
    • Network security visualization
    • Visualization targets
    • Visualization steps
    • Use data visualization tools
    • Learn by example
    Conclusion
    • Next steps