Anomaly Detection

A simple approach to find outliers in the midst of different network communications

Based on KDDCup data two approaches are taken. First with Random Forest and then with Support Vector Machine.

For Simplified Outlier Detection the following processes are included:

1. Load Data
2. Data Pre-processing
3. Build Model
4. Check Performance

In Anomaly detection using Support Vector Machine (SVM) Support Vector Machine is used, but the downside is processing time. This could be improved by parallel programming.