Applied Network Security Monitoring

Collection, Detection, and Analysis

Applied Network Security Monitoring is the essential guide to becoming an NSM analyst from the ground up. This book takes a fundamental approach to NSM, complete with dozens of real-world examples that teach you the key concepts of NSM.

Network security monitoring is based on the principle that prevention eventually fails. In the current threat landscape, no matter how much you try, motivated attackers will eventually find their way into your network. At that point, it is your ability to detect and respond to that intrusion that can be the difference between a small incident and a major disaster.

The book follows the three stages of the NSM cycle: collection, detection, and analysis. As you progress through each section, you will have access to insights from seasoned NSM professionals while being introduced to relevant, practical scenarios complete with sample data.

If you've never performed NSM analysis, Applied Network Security Monitoring will give you an adequate grasp on the core concepts needed to become an effective analyst. If you are already a practicing analyst, this book will allow you to grow your analytic technique to make you more effective at your job.

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<P/>Information security practitioners, network administrators, computer system administrators, IT professionals, NSM analysts, forensic analysts, incident responders, and an academic audience among information security majors.<P/>


Book information

  • Published: December 2013
  • Imprint: SYNGRESS
  • ISBN: 978-0-12-417208-1


"... an extremely informative dive into the realm of network security data collection and analysis...well organized and thought through...I have only positive comments from my study." -The Ethical Hacker Network, Oct 31, 2014


  1. Introduction to NSM
  2. Driving Data Collection
  3. The Sensor Platform
  4. Full Packet Capture Data
  5. Session Data
  6. Protocol Metadata
  7. Statistical Data
  8. Indicators of Compromise
  9. Target-Based Detection
  10. Signature-Based Detection with Snort
  11. Signature-Based Detection with Suricata
  12. Anomaly-Based Detection with Bro
  13. Early Warning AS&W with Honeypots
  14. Packet Analysis
  15. Friendly Intelligence
  16. Hostile Intelligence
  17. Differential Diagnosis of NSM Events
  18. Incident Morbidity and Mortality
  19. Malware Analysis for NSM