1. Virtual Private Network Pattern Classification Joe Madden Fall 2010 ECE/CS/ME 539

2. Summary & Objective Create multiple training/testing files from.csv file containing Outgoing, Incoming packets Determine best pattern classification algorithm presented in class Compare with basic statistical measures Set a conservative threshold for VPN activity to ensure Quality of Service

3. MLE (Gaussian) Negative Log Likelihood 61% Classified

4. K-Nearest Neighbor

5. Reason for Mixed Results Data follows Log-Normal Curve

6. Next Steps Use a standard normal distribution for generating class vectors Attempt 3-way cross validation