PAISES-6G

Pioneering AI-enhanced SEcure 6G Services framework
IMDEA Networks is a beneficiary of this project
  • Financed by: European Union (Horizon Europe)
  • Duration: June 2026 to May 2029
  • Contact: Marco FIORE, Principal Investigator for IMDEA Networks

The PAISES-6G project is at the vanguard of developing next-generation 6G infrastructures that are robust, secure, and intelligent. It aims to seamlessly integrate advanced AI/ML technologies to enhance connectivity and efficiency within 6G networks. Central to this initiative is establishing a comprehensive framework that supports the deployment of innovative 6G functionalities, ensuring adaptability and scalability essential for future technological demands.

At the heart of PAISES-6G is enhancing data privacy and security through digital twins that generate synthetic data for safe, robust testing of network functions. This approach mitigates risks to sensitive information by simulating real-world data scenarios. Additionally, the project prioritizes the efficient distribution and execution of Network Functions (xNFs) across the network, creating secure and flexible frameworks that facilitate seamless integration and operation. PAISES-6G also pioneers the implementation of quantum-ready encryption technologies to fortify networks against future quantum-level threats.

Another key aspect is the project’s advancement in network management through the secure, zero-touch deployment of AI algorithms across federated domains. This automation minimizes human error and enhances operational efficiency, enabling 6G networks to manage increased data volumes and complexity while defending against sophisticated cyber threats. These strategic efforts highlight PAISES-6G’s commitment to pushing the technological boundaries of 6G infrastructures, ensuring they are equipped to support a hyper-connected future with the highest security and efficiency standards.

 

The project is supported by the SNS JU and the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101292896.

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