Best paper award in PAM 2013

The paper “Measurement Artifacts in NetFlow Data”, presented at PAM 2013 in Hong Kong, won the best paper award. The paper’s authors are: Rick Hofstede, Idilio Drago, Anna Sperotto, Ramin Sadre, Aiko Pras

The paper presents an analysis of artifacts found in flow exporter devices.

Download the paper here


Flows provide an aggregated view of network traffic by grouping streams of packets. The resulting scalability gain usually excuses the coarser data granularity, as long as the flow data reflects the actual network traffic faithfully. However, it is known that the flow export process may introduce artifacts in the exported data. This paper extends the set of known artifacts by explaining which implementation decisions are causing them. In addition, we verify the artifacts’ presence in data from a set of widely-used devices. Our results show that the revealed artifacts are widely spread among different devices from various vendors. We believe that these results provide researchers and operators with important insights for developing robust analysis applications.