This paper introduces a new perspective on securing wireless status-update systems by combining physical-layer security with the concept of information freshness. Instead of relying on traditional secrecy metrics such as secrecy capacity or outage probability, the authors focus on Age… Read More »Secure Status Updates under Eavesdropping: Age of Information-based Secrecy Metrics
Federated Learning (FL) relies on many distributed clients training a shared global model without sending raw data to the server. However, one of the core challenges in FL is determining which clients should participate in each training round, especially when… Read More »Version Age-Based Client Scheduling Policy for Federated Learning
Monitoring large IoT networks is challenging, especially when devices operate in remote environments and faults cannot be easily observed. This paper introduces a semantics-aware active fault detection approach, where a monitor intelligently decides when to probe a remote sensor to… Read More »Semantics-Aware Active Fault Detection in Status Updating Systems
As 6G networks promise unparalleled connectivity with ultra-low latency, high bandwidth, and multi-domain interoperability, they also face an increasingly complex security landscape. The integration of advanced AI/ML-driven automation in network management introduces new opportunities but also heightens the potential risks… Read More »Enhancing 6G Security with Zero-Touch Automation: Insights from ROBUST-6G Deliverable 4.1
As global connectivity ushers in the next era of communication, 6G networks are poised to revolutionize technology with unprecedented capabilities. These advancements will rely heavily on Artificial Intelligence (AI) and Machine Learning (ML), which are expected to enhance network efficiency,… Read More »Strengthening 6G AI/ML Security: Insights from ROBUST-6G Threat Assessment and Prevention Report
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