An architectural solution for data exchange in cooperative network security research

Authors:
Brian Trammell;Jan Seedorf;Giuseppe Bianchi
Affiliations:
ETH Zurich, Zurich, Switzerland;NEC Laboratories Europe, Heidelberg, Germany;Uni. Roma Tor Vergata, Rome, Italy
Venue:
Proceedings of the First Workshop on Building Analysis Datasets and Gathering Experience Returns for Security
Year:
2011

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Abstract

Science can be seen as a cycle of hypothesis, collection of experimental results, and analysis to refine or refute the original hypothesis. The desire to increase the rigor of large-scale computer and network security studies extends to all three of these steps: an improved understanding of the situation leads to better hypotheses, improved collection and sharing of data increases the scope of the studies that can be done, and improved analysis techniques lead to deeper insights and more useful results.