The evolution towards an Open Radio Access Network (O-RAN) and 6G introduces unprecedented openness and intelligence in mobile networks, alongside significant security challenges. Current cyber-ranges (CRs) are not prepared to address the disaggregated architecture, numerous open interfaces, AI/ML-driven RAN Intelligent Controllers (RICs), and O-Cloud dependencies of O-RAN, nor the now-established 6G paradigms of AI-native operations and pervasive Zero Trust Architectures (ZTAs). This paper identifies a critical validation gap and proposes a novel theoretical framework for a next-generation CR, specifically architected to address the unique complexities of O-RAN’s disaggregated components, open interfaces, and advanced 6G security paradigms. Our framework features a modular architecture enabling high-fidelity emulation of O-RAN components and interfaces, integrated AI/ML security testing, and native support for ZTA validation. We also conceptualize a novel Federated Cyber-Range (FCR) architecture for enhanced scalability and specialized testing. By systematically linking identified threats to CR requirements and illustrating unique, practical O-RAN-specific exercises, this research lays foundational work for developing CRs capable of proactively assessing and strengthening the security of O-RAN and future 6G systems, while also outlining key implementation challenges. We validate the framework’s feasibility through a proof-of-concept A1 malicious policy injection exercise.
Chaskos et al. (Sun,) studied this question.