Secure Computing Continuum (IoT, Edge, Cloud, Data spaces)

Expected Outcome: Proposals are expected to contribute to one or more of the following: Enhanced resilience against distributed cyber threats and adversarial attacks targeting interconnected systems, while preserving data privacy in highly dynamic and heterogeneous environments; Security solutions tailored to distributed computing systems including for example IoT and edge computing environments, integrating privacy-preserving mechanisms; Improved interoperability of security measures and cross-layer security, including the compatibility of privacy-enhancing technologies across different layers of the computing continuum and data spaces, and across providers in the multi-provider edge cloud continuum. Scope: This topic aims to advance security across the entire computing continuum, spanning IoT devices, edge computing, cloud infrastructures, AI computing environments, and data spaces. Proposals should address critical challenges such as ensuring data integrity in highly distributed and dynamic environments, implementing robust zero-trust architectures to secure interconnected and heterogeneous systems, and enabling comprehensive protection for sensitive data and processes. Privacy should be considered a core element of these approaches, ensuring that data confidentiality is preserved throughout its lifecycle, in compliance with relevant data protection frameworks, such as GDPR. Solutions are expected to deliver tangible and measurable security improvements across all layers…