Network Analytics for Streaming Traffic Analysis

Network traffic analytics has always been an important field for cybersecurity and network operations. The analysis could be done on the stream of data (network traffic) in an on-line mode for real-time network operations or on the captured traffic data in an off-line mode for forensic analysis. In this paper, we aim to shed light into using machine learning based network analytics on traffic flows both for network operations and forensic analysis purposes. In doing so, our goal is to design and develop systems that could assist the human expert in analyzing "unknown background" traffic.