Intrusion Detection Artificial Intelligence
Government and military networks have often been prime targets for malicious actors and the current security solutions have proven not to be sufficient any longer. It is reasonable to assume that sooner or later one or more hosts in our networks might and will be a victim of a targeted attack.
Our study builds upon what we accomplished so far in the previous years in developing the MASFAD framework, combining detection algorithms, found in scientific literature, with new algorithms, developed in the context of the study. Continuing our research and development we intend to focus on the following points:
We aim to present a working operational product at the end of the project that can be used as a powerful stand-alone APT detection solution, or be used with already existing Intrusion Detection Systems.