AwareNet: using WSBMs for network traffic analyis

Characterizing network behavior, an essential building block for many network management tasks becomes increasingly difficult for administrators. Reasons for that are, among others, rising traffic volume and dynamicity in modern networks. To automate network behavior characterization, we present AwareNet, a system that uses Weighted Stochastic Block Models (WSBMs). By providing insight into network-inherent dynamics AwareNet supports administrators in handling the rising traffic volume and dynamicity. As an example, we show that AwareNet can detect targeted host scans in a campus network.