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Network traffic monitoring based on IP Flows is a standard monitoringapproach that can be deployed to various network infrastructures, even thelarge IPS-based networks connecting millions of people. Since flow recordstraditionally contain only limited information (addresses, transport ports, andamount of exchanged data), they are also commonly extended for additionalfeatures that enable network traffic analysis with high accuracy. Nevertheless,the flow extensions are often too large or hard to compute, which limits theirdeployment only to smaller-sized networks. This paper proposes a novel extendedIP flow called NetTiSA (Network Time Series Analysed), which is based on theanalysis of the time series of packet sizes. By thoroughly testing 25 differentnetwork classification tasks, we show the broad applicability and highusability of NetTiSA, which often outperforms the best-performing relatedworks. For practical deployment, we also consider the sizes of flows extendedfor NetTiSA and evaluate the performance impacts of its computation in the flowexporter. The novel feature set proved universal and deployable to high-speedISP networks with 100\,Gbps lines; thus, it enables accurate and widespreadnetwork security protection.

NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification