Project | IGEL-AI

Duration: 06/01/2025 - 05/31/2028

IntelliGEnte Lösungen für Echtzeit Sicherheit: Methoden der Künstlichen Intelligenz zur Steigerung der Vertrauenswürdigkeit in mobilen Netzen

Research Topics

The aim of the project is to improve the trustworthiness of future 6th generation mobile networks. The project specifically aims to improve the security of 6G systems. This will be supported, among other things, by the use of methods from the fields of machine learning (ML) and artificial intelligence (AI). AI methods will be used both in the areas of attack defense (prevention) and attack detection (detection). Furthermore, AI methods will be used to generate potential attacks and improve known attacks. Such attacks serve as a means of evaluating – and subsequently improving – the security solutions to be developed within the project. The project develops solutions at all network layers, starting with the physical transmission layer. A cross-layer security approach is pursued, which considers the interactions between the individual layers and the associated security solutions in order to create a cross-layer, efficient, and optimized overall security concept. Specifically, procedures for (group) key exchange are being developed at the physical layer, which directly utilize the channel properties to derive secret keys. AI-based test generators are being developed for the network access and network layers. This will address the high complexity of the specifications of the mobile communications components and the ongoing changes to these specifications. The automated tests will allow for continuous review of the specifications and the associated mobile communications components for any security vulnerabilities. In addition to the security improvements achieved with regard to individual 6G components, the network as a whole will also be considered. Here, too, AI-based procedures will be used in the context of network planning and optimization tools to be developed. The tools to be developed will enable optimal, both in terms of efficiency and security, and automated network configuration and component distribution.