iReduce

The immense flood of messages that is constantly triggered by monitoring and control technologies (aka operational technology, OT) in critical infrastructures (KRITIS) represents a central challenge for secure operations. These challenges are amplified by inherent KRITIS characteristics such as heterogeneity, decentralization and evolution. Since interdependencies between OT objects and their semantics are neither known nor machine-processable, it is impossible to intelligently process the flood of alarms and subsequently reduce them.

In the “iReduce” project, basic technologies for the exploration of semantic OT interdependencies are realized, which form the core building block for intelligent alarm management in KRITIS and thus enable continuous and dynamic alarm flood reduction. As a central result, functional core components are implemented as practical show cases exemplary for the KRITIS domain of traffic monitoring and control.

The AIST research group supports the colleagues of the partner research group PEEC in this project.