SciTransfer
NATWORK · Project

Energy-Efficient AI Security for Next-Generation 6G Networks

digitalTestedTRL 4

Imagine a computer network that acts like a living organism, automatically healing itself when attacked. Instead of waiting for a human to fix a crash, the system senses danger and shifts its own defenses in real-time. It does this using tiny, smart AI brains built directly into the hardware to keep energy use very low.

By the numbers
15
partners
10
countries
40%
industry ratio
The business problem

What needed solving

Current network security often consumes too much energy and cannot react fast enough to new types of cyber attacks. This leads to service outages and high operational costs for 6G infrastructure.

The solution

What was built

A Secure Federated Learning architecture using decentralized AI models embedded in 6G hardware and P4-programmable data planes.

Audience

Who needs this

6G Telecommunications OperatorsCybersecurity Hardware ManufacturersEdge Computing ProvidersCritical Infrastructure Managers
Business applications

Who can put this to work

Telecommunications
enterprise
Target: 6G Infrastructure Provider

If you are a network operator dealing with sophisticated signal jamming and cyber attacks — this project developed a self-adaptive security mechanism that ensures service continuity and meets SLAs. It uses decentralized AI to stop threats at wire-speed.

Critical Infrastructure
enterprise
Target: Smart Grid Operator

If you are a utility provider dealing with the need for ultra-secure, low-power remote monitoring — this project developed a Net Zero AI security system. This allows for secure distributed computations without spiking energy costs.

Industrial IoT
mid-size
Target: Automated Factory Systems Integrator

If you are a systems integrator dealing with the risk of network downtime in high-speed production lines — this project developed a self-resilient networking system based on bio-mimicry. It provides a continuum of security for moving data and operations.

Frequently asked

Quick answers

What is the cost or pricing for implementing this technology?

Based on available project data, specific pricing is not mentioned, but the project focuses on creating an 'economically realistic' and energy-efficient system to lower operational costs.

Can this be deployed at an industrial scale?

The project is designed for 6G network ecosystems and uses P4-programmable data planes and DPU acceleration, which are standard for high-scale industrial networking.

What are the IP and licensing terms for the AI models?

Based on available project data, licensing terms are not specified, though the project aligns with EU regulations like the Cybersecurity Act and GDPR.

How does this integrate with existing hardware?

It integrates via smart Edge Network Interface Cards and RAN devices, utilizing decentralized AI models embedded in the physical layer.

What is the timeline for market availability?

The project runs from 2024-01-01 to 2026-12-31, suggesting that mature results will be available by the end of 2026.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring a 40% industry ratio with 6 industrial partners, including 4 SMEs. With 15 partners across 10 countries, the project combines academic research from 6 universities and 3 research centers with practical industrial application, increasing the likelihood of market adoption.

How to reach the team

Contact the National Centre for Research and Technological Development (REC) in Greece

Next steps

Talk to the team behind this work.

Contact us to connect with the NATWORK consortium for 6G security integration.