The PoC focuses on strengthening the security of Open Radio Access Networks (O-RAN) within future 6G ecosystems by detecting, analysing, and mitigating cyber threats targeting disaggregated and programmable network components. As part of the MARE Project, it demonstrates how adaptive and modular security mechanisms can improve the resilience, trustworthiness, and protection of next-generation mobile network infrastructures.
This PoC focuses on protecting the 6G core network using AI-driven threat detection and response mechanisms based on federated learning and privacy-preserving machine learning models. It demonstrates how distributed AI can detect cyberattacks in cloud-native 6G architectures while improving security, scalability, and trust across the network core.
External defenses are not enough when cyber threats could come from within.
Discover how the MARE project’s PoC#3 leverages behavioral analysis and Machine Learning to detect insider threats and safeguard critical 6G network control planes.
As 6G networks transition to flexible, cloud-native architectures, they become increasingly vulnerable to sophisticated interception tactics. PoC#4 within the MARE project addresses this critical security challenge head-on. Discover how PoC#4 utilizes continuous monitoring, smart detection, and automated response mechanisms to neutralize “Man-in-the-Middle” (MitM) attacks, ensuring data integrity across future cloud environments.
As 6G transitions toward Intent-Based Networking (IBN), the network’s “brain” automatically translates high-level operator commands into complex configurations. However, this automation introduces critical vulnerabilities like telemetry tampering. Discover how PoC#5 within the MARE project builds a multi-layered security framework to protect decision-making data from adversarial manipulation, ensuring tomorrow’s automated networks remain entirely resilient and trustworthy.
Future 6G networks will depend heavily on the Network Data Analytics Function (NWDAF) to make critical, automated operational decisions. However, this autonomy relies entirely on the integrity of incoming data. PoC#6 within the MARE project tackles the rising threat of analytics poisoning, where malicious actors inject corrupted data to mislead the system. Learn how PoC#6 implements a Zero Touch Security Framework (ZTSF) to continuously verify telemetry streams, ensuring 6G intelligence always acts on facts rather than fabricated anomalies.
As Artificial Intelligence becomes the primary engine driving 6G networks, a critical question emerges – Can we truly trust the algorithms making automated decisions? PoC#7 tackles this head-on by introducing a Zero Trust approach to AI. By continuously calculating a dynamic AI Trustworthiness Score based on technical robustness, data integrity and operational reliability, PoC#7 establishes a vital digital safety net that ensures future network intelligence remains accountable, uncompromised and secure.
As 6G architecture embraces Digital Twins to create real-time virtual replicas for network optimization, these powerful simulation tools introduce a dangerous new attack surface. If compromised, a virtual twin can become a Trojan Horse, feeding false data and pushing malicious configurations directly to the live physical infrastructure. PoC#8 builds a dedicated security shield – using synchronization integrity checks and AI-driven anomaly detection, to ensure that the virtual worlds guiding tomorrow’s automated networks remain entirely resilient, trustworthy and secure.
The expansion of distributed 6G networks brings a massive influx of connected edge devices, but it also opens the door to internal security vulnerabilities. PoC#9 focuses on countering Distributed Denial of Service (DDoS) attacks launched from compromised, pre-authenticated edge nodes. Discover how PoC#9 utilizes advanced behavioral analytics and dynamic mitigation to protect critical control and user planes, ensuring tomorrow’s networks remain resilient against internal disruption.
As mobile networks transition into open innovation platforms, exposing 6G capabilities through APIs unlocks incredible opportunities for third-party applications. However, this openness also introduces severe security risks like data leakage and API abuse. PoC#10 utilizes continuous monitoring, robust access control and automated responses to safely bridge the gap between open innovation and network security.
Future 6G ecosystems will operate as an interconnected “Network of Networks,” meaning a single vulnerability can quickly compromise multiple administrative domains. PoC#11 addresses this challenge by establishing a secure framework for cross-network security sharing. Discover how PoC#11 enables stakeholders to collaboratively exchange vital threat intelligence and coordinate responses while strictly preserving local autonomy, privacy and commercial boundaries.
Co-funded by the European Union
MARE project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101191436
