The integration of Artificial Intelligence (AI) into Beyond 5G and 6G mobile networks marks a critical turning point for security and resilience. Cloud-native architectures, virtualized infrastructures, and open-source components significantly expand the attack surface, demanding new, AI-driven security approaches. The Workshop on AI Methods for Secure and Resilient Mobile Networks (AI4SecureNets) addresses this urgent need by exploring how AI can enhance threat detection, automation, and network optimization while mitigating emerging AI-based attack vectors. We invite contributions on AI-enabled security mechanisms, privacy protection, digital-twin-based resilience modelling, and safeguarding critical mobile services. Topics also include IoT and body-area network security, secure cloud/fog integration, and the robustness of AI models. AI4SecureNets aims to advance trustworthy and resilient next-generation mobile infrastructures.

Topics of Interest
- Security and Privacy Foundations
- Cyber threats and evolving attack surfaces in B5G/6G networks
- Emerging enablers for mobile network security and privacy
- Physical-layer security techniques for next-generation systems
- Trust architectures, including hardware root-of-trust and Zero Trust
- AI for Secure and Trustworthy Networking
- AI/ML for network security, threat detection, and automated response
- Trustworthy and robust AI, including adversarial resilience and model integrity
- Security and privacy challenges of AI/ML in mobile network operations
- Federated and distributed learning for secure network intelligence
- Resilience and Robustness of Mobile Networks
- Resilience strategies for B5G/6G infrastructures
- AI-driven resilience management and self-healing networks
- Fault tolerance, redundancy, and graceful degradation
- Digital twins for resilience modelling and stress testing
- Emerging Systems and Cross-Domain Challenges
- Security and resilience in IoT and large-scale device ecosystems
- Cloud, fog, and edge security and resilience challenges
- Emerging technologies (e.g., RIS/IRS, ISAC, localization)
- Energy-efficient and resource-aware security and resilience mechanisms

Organizers
- Aydin Sezgin, Ruhr University Bochum, Germany
- Rasheed Hussain, University of Bristol, United Kingdom
- Bin Han, RPTU Kaiserslautern-Landau, Germany
- Konstantinos Katsaros, Digital Catapult, United Kingdom
- Christoph Lipps, German Research Center for Artificial Intelligence, Germany
- Hirley Alves, University of Oulu, Finland
- Hakima Chaouchi, Télécom SudParis, France

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