The aim of the BruFence project is to design systems based on machine learning and big data mining techniques that allow sensible and secure systems to
automatically detect attacks and fraudulent behaviors.

Advanced persistent threat detection market as well as scalable fraud detection is expected to have
a high progression rate in the next years, therefore the project is twofold and addresses researches on:
Automatic detection of threats and attacks
against communication systems, managed file transfer and collaboration platforms;
Automatic detections of fraud in large amount of transactions.