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Reproducible and Adaptable Data Generation for Cybersecurity Experiments

In this article, some researchers from Germany bring up the issue of obtaining relevant datasets in order to test cybersecurity tools.

The authors try to design a way to “generate meaningful, reproducible, and adaptable log datasets for sound scientific cybersecurity experiments”. Their goals are ambitious. They designed a testbed that generates log data containing normal activity and the possibility of running attacks among it. But most of all, they did it in a transparent, explicable and replicable way. Then they evaluate their tool with a multi-step attack. They evaluate their tool with a practical experiment on detecting a multi-step intrusion of an enterprise network and show that the resulting experiment is indeed valid, controlled, and reproducible.

It’s a promising work to say the least !

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