Ivan Zelinka, PhD
professor of computer science

A brief history of our research on malware visualization using fractal geometry.

My research group (https://www.ivanzelinka.eu/NAVY/) has been working on computer viruses and unconventional algorithms, where fractal geometry belongs, for many years. Since about 2020, we have actively collaborated with ESET, which has provided us with several million dynamic malware analysis samples for further analysis and experiments. In 2021, the idea was conceived to elevate the visualization of malware, which until then had been visualized in the form of only black and white maps, reminiscent of the grain of an old TV, to the level of fractal geometry. 

By the end of 2021, the first images of malware visualization using fractal geometry were created, where we visualized several hundred malware families as fractal patterns. In 2022, our research continued by creating a special software called Fractal Visualizer, which was able to automatically convert dynamic malware analyses into fractal patterns, so that during 2022, when we had already generated a total of 120,000 malware and goodware images from ESET's multi-million sample dataset. 

We deployed artificial intelligence in deep learning on these samples and managed to classify goodware from malware in this image plane with a decent success rate. We were especially considering that these were the first attempts of this kind ever. The open access paper about it is at https://www.sciencedirect.com/science/article/pii/S0378475423004937.
 
If you are interested in our research, we would be very happy for any reasonable professional communication and collaboration. Again, thank you for reading this report, and we wish you a pleasant viewing of some selected fractal-malware samples, which are shown below or you can watch our YouTube video here: https://youtu.be/GPjaIkO9fzg

All names of our fractal malware figures are  artistic like Batman etc., however original names are technical like 18_Win32.Doomer.E worm ...

NAVY lab team :)

Malware samples