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On Collection of Large-Scale Multi-Purpose Datasets on Internet Backbone Links

Farnaz Moradi (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Magnus Almgren (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Wolfgang John (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Tomas Olovsson (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Philippas Tsigas (Institutionen för data- och informationsteknik, Nätverk och system, Datakommunikation och distribuerade system (Chalmers))
The First Workshop on Building Analysis Datasets and Gathering Experience Returns for Security, BADGERS 2011, Salzburg, Austria, 10 April 2011 p. 62-69. (2011)
[Konferensbidrag, refereegranskat]

We have collected several large-scale datasets in a number of passive measurement projects on an Internet backbone link belonging to a national university network. The datasets have been used in different studies such as in general classification and characterization of properties of Internet traffic, in network security projects detecting and classifying malicious traffic and hosts, and in studies of network-level properties of unsolicited e-mail (spam) traffic. The Antispam dataset alone contains traffic between more than 10 million e-mail addresses. In this paper we describe our datasets, the data collection methodology including experiences in collecting and processing data on a large scale. We have in particular selected a dataset belonging to an anti-spam project to show how a practical analysis of highly privacy-sensitive data can be done, in this case containing complete e-mail traffic. Not only do we show that it is possible to collect large datasets, we also show how to solve different issues regarding user privacy and give experiences from how to work with large datasets.

Nyckelord: Internet Measurement, Large-Scale Datasets, E-mail traffic, Spam

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Denna post skapades 2011-04-19. Senast ändrad 2015-12-17.
CPL Pubid: 139489


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