Creating EMBeD, the Embedded Malware Benchmark Dataset
Brief
Hello there! My name is Dávid Maliga, a first-year PhD student – under the supervision of Prof. Levente Buttyán – in the CrySyS lab, and I would like to share with you our latest work, which we just recently presented at this year’s CITDS conference (2026 IEEE 4th Conference on Information Technology and Data Science) in the city of Debrecen, at the beautiful campus of the University of Debrecen.
Repeatability of expreiments is an important requirement for any scientific approach. Repeatability means that if someone wants to apply an existing approach to their own problem, they should be able to do so reliably, by following the documented methodology. The same methodology under which the original approach was developed and validated.
This means, to verify an approach, repeating the same measurements on the same dataset should produce exactly the same results.