I. Introduction
The issue of Anomaly/outlier Detection (AD) in networking and various cyber-physical systems continues to be one major research question today. Various data types such as timeseries, network packet-captures, and event-based data streams have been used in functionally diverse systems to detect anomalous event in real-time [1], [2]. Most results report anomaly detection from additional meta-data as conferred by machine learning-based methods.