Context-driven Edge-based Data Sharing for Industrial IoT Data Spaces
An Ngoc Lam, Phu H. Nguyen, Xiang Ma · 2025
The increasing reliance on IoT ecosystems demands robust, secure, and context-aware data-sharing mechanisms that operate closer to data sources. Data spaces must leverage trusted edge-based system architectures for near real-time data processing, transformation, and enrichment while ensuring data privacy and security. However, the current International Data Spaces (IDS) Model lacks comprehensive support for Edge-based architectures and flexible, context-driven access control models essential for managing diverse applications within data space ecosystems.