Deggendorf, 2024/03/21 – On Tuesday, the consortium of the SKINET research project presented its research results and progress in the field of IT security for automotive and Industry 4.0 applications. The consortium coordinator, b-plus, invited all project partners to the final presentation at the main headquarter of the technology company in Deggendorf.
IT networks are omnipresent today. Given their increasing complexity and central role, it is crucial that they are effectively managed and protected. The core objective of SKINET is to create a framework using artificial intelligence that enables the early detection and mitigation of issues in IT networks. As consortium leader, b-plus has led a team of experts over the past three and a half years to tackle this challenge. Project partners including the University of Augsburg, AVL Software and Functions GmbH, Carl Zeiss AG, TG alpha GmbH, Technische Hochschule Deggendorf, Technische Universität München, and b-plus technologies GmbH have developed AI methods for a distributed system for the detection and treatment of security-critical incidents.
"We are pleased to present our research results today. With SKINET, we are taking an important step towards secure IT networks of the future," said Stefan Seidl, Research Engineer at b-plus. "With our results, IT security systems can be developed to dynamically detect novel threats using AI," Seidl explained.
Ms. Eickhoff, representative of the project sponsor VDI/VDE, is also satisfied with the results: "The consortium worked very well together. Even if there were changes to the original plan in the course of the project, good results were achieved that can be built on."
The system architecture of SKINET is highly versatile and flexible, suitable for both vehicle and industrial networks. Of particular interest is the use of anomaly detection components, which enable reliable detection of deviations from the network's normal behaviour.
For more information about SKINET and other research projects by b-plus visit b-plus.com/en/research/applied-research
