Lecture notes

• Lecture 1 (Definition and classification of IDS systems)
  
• Lecture 2 (Misuse detection systems: Snort)
  
• Lecture 3 (Misuse detection systems: Bro and Suricata)
  
• Lecture 4 (Anomaly-based IDS)
  
• Lecture 5 (Testing and performance)
  

We have to write an individual project (30%) and we choose from the topics on the Fronter page

Term paper

S3_IDS_Cluster_analysis_and_its_application_in_anomaly_detection
size 307.0 KiB
sha256: cfeac7e55d...ac9c95ed5c

My mind map

http://app.wisemapping.com/c/maps/152671/public

Books

• Some recommended literature is listed...
  

Evaluation

• 3 hour written exam (70%)
  
• Projects (30%)