February 16, 2024

DÏoT: New self-learning system for cyber attack detection in IoT receives 700,000 euros in funding

“Innovation project explores detection of cyber attacks on networked everyday devices.”

The TUDa Innovations project DÏoT is developing a self-learning system for detecting cyber attacks in the Internet of Things. For the further development of this new security solution, the start-up is now supported with 700,000 euros from the StartUpSecure | ATHENE funding program of the Federal Ministry of Education and Research (BMBF).

DÏoT emerged from the research team of the System Security Labs at the Technical University of Darmstadt: The project is led by Thien Nguyen, who is currently a research assistant in the field of security for IoT security. He is supported by Phillip Rieger, a specialist in AI algorithms. Providing advisory support are Professors Markus Miettinen, Professor of IT Security and Programming at the Frankfurt University of Applied Sciences, and Prof. Dr.-Ing Ahmad-Reza Sadeghi, Professor of Computer Science at TU Darmstadt and Head of the System Security Lab, both of whom have contributed to the development of the innovative solution.

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