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Assessing Unknown Network Traffic
Meent van de, Remco and Pras, Aiko (2004) Assessing Unknown Network Traffic. [Report]
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| Abstract: | Recent measurements have shown that a growing fraction of all Internet traffic is unknown: it is unclear which applications are causing the traffic. Therefore we have developed and applied a novel methodology to find out what applications are running on the network. This methodology is based on the notion of ¿induced traffic¿: traffic cannot (wide-scale) be on unknown ports, thus,
the hypothesis is that such traffic on unknown ports should be preceeded by traffic on known ports between the same peers. We have developed and implemented an algorithm to test this hypothesis. After applying the algorithm in two case studies we, unfortunately, have to conclude that although some improvement is made, there is still a significant fraction of traffic unidentifiable. |
| Item Type: | Report |
| Copyright: | ©2004 CTIT |
| Faculty: | Electrical Engineering, Mathematics and Computer Science (EEMCS) |
| Research Group: | |
| Link to this item: | http://purl.utwente.nl/publications/47585 |
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