The project has defined a methodology for collecting and defining the high-level requirements, defining the first architecture of RIGOUROUS, including the main functional blocks, workflows, services as well as the Use-Cases and threat scenarios specifications. The project has devised, designed and implemented the first proof of concepts implementations of the enablers and assets being investigated for coming up with a Multi-domain model-based automated security orchestration, trustmanagement and deployment. It this regard, it is worth highlighting, the design and implementation of the security/privacy models, design of the onboading specifications of network resources and devices and policy framework, and the privacy quantifier enabler. Design and implementation of the security/privacy orchestrator, the zero-touch device bootstrapping, trusted application onboarding mechanism, and the privacy and privacy-preserving ABC mechanism for credential enrolment. In addition the project has deliverd the first results of the innovative mechanisms powered by AI to enable federated cross-domain analytics for anomaly detection with privacy protection and resilience to adversarial attacks, dynamic and automated service composition mechanisms, based on a hybrid scheme combining AI with rules-based systems, in order to detect and resolve the interconnection problems (interoperability and/or security, privacy and trust mismatches) among components that are attempting to interoperate, and which are not known in advance. Besides, the project has delivered the first AI-driven mechanisms for the automated decision making for the proper mitigation as well as the enablers to achieve a fully functional close control loop for automated security mitigation against cyber-attacks. Furthemore the project has designed the methodology for testing and integration, acomplished the first set of in-lab experiments and delivered described the results of the first implement prototype and inlab testing.
