AMIDES, an open-source Adaptive Misuse Detection System, spots attack-like behavior not caught by SIEM rules. The following cybersecurity researchers from the respective organizations and universities introduced this new detection system:- Rafael Uetz from Fraunhofer FKIE Marco Herzog from Fraunhofer FKIE Louis Hackländer from Fraunhofer FKIE Simon Schwarz from University of Göttingen Martin Henze from RWTH Aachen University, Fraunhofer FKIE It uses supervised learning, classifying events based on similarity to known-malicious or known-harmless activity without the need for a manually extensive attack set.

Source: GBHackers