A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic

no code implementations • 14 Jun 2016 • Tingshan Huang, Harish Sethu, Nagarajan Kandasamy

This variance-based subspace approach to dimensionality reduction forces a fixed choice of the number of dimensions, is not responsive to real-time shifts in observed traffic patterns, and is vulnerable to normal traffic spoofing.

Anomaly Detection Dimensionality Reduction +1