SPHINX Toolkit Components Development - Machine Learning based Intrusion Detection (MLID)

The Machine Learning based Intrusion Detection component (MLID) belongs to the Automated Cyber Security Risk Assessment building block of SPHINX Toolkit. The MLID classifies data generated from SPHINX Honeypot and then sends the low-level classification outputs (i) back to the honeypot and (ii) to the Decision Support System of SPHINX. Also, the outcomes of MLID are communicated to the knowledge base of the Toolkit.

This presentation shows the 1st version of the component.

SPHINX Project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 826183.