The Helmut-Schmidt-University of the Federal Armed Forces Hamburg has embarked on a pioneering research collaboration with ipoque.
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Press Release, Leipzig, 18 February 2025: The Helmut-Schmidt-University of the Federal Armed Forces Hamburg (HSU / UniBw H) has embarked on a pioneering research collaboration with ipoque, a Rohde & Schwarz company.
This strategic partnership aims to develop cutting-edge technology capable of identifying and mitigating potential threats from unauthorised drones (UAS) by analysing patterns within vast 5G network data streams.
Leveraging the university’s state-of-the-art 5G Campus Network, established by Deutsche Telekom Global Business in conjunction with Ericsson as part of the Digital Sensor-2-Cloud Campus Platform (DS2CCP / dtec.bw) project, the research team will focus on anomaly detection in 5G Campus Networks and drone detection in mobile networks. This innovative approach is set to bolster the security of critical infrastructure, such as airports and stadiums, against drone-based threats.
The Hamburg-based researchers, known for their development of the FALKE interceptor drone, are at the forefront of European research in this domain. ipoque will contribute its expertise in network analysis software, renowned for enhancing network optimisation, management, connectivity, and security.
“This collaboration represents a crucial step towards harnessing the power of 5G network analysis for national security,” stated Prof. Gerd Scholl, leading the project at HSU/UniBw H. “By developing sophisticated anomaly detection capabilities, we can significantly enhance the protection of sensitive areas against unauthorised drone activities.”
“ipoque’s advanced software solutions, backed by nearly two decades of collected data sets and our global framework for generating high-quality training data, will be instrumental in achieving real-time network analysis and application awareness,” added Dr. Ing. Martin Mieth, Director Network Analysis for ipoque. “This synergy is pivotal for overcoming current data protection challenges and paving the way for the next generation of AI-driven network security solutions.”
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