Internet of Things (IoT) is one of the next big concepts to support societal changes and economic growth, being one of the fastest growing ICT segments. A specific challenge is to leverage existing technology strengths to develop solutions that sustain the European industry and values.
IoT-NGIN introduces novel research and innovation concepts, acting as the “IoT Engine” which will fuel the Next Generation of IoT as a part of the European Next Generation Internet. IoT-NGIN uncovers a patterns based meta-architecture that encompasses evolving, legacy, and future IoT architectures. The project also optimizes IoT/M2M and 5G/MCM communications, including using secure-by-design micro-services to extend the edge cloud paradigm.Moreover, it enables IoT systems to be self-aware and autonomous through privacy-preserving federated ML and ambient intelligence with AR support for humans. Distributed IoT cybersecurity and privacy, for example, using Self-Sovereign Identities and interconnected DLTs to implement Meta-Level Digital Twins, are also among the main priorities of IoT-NGIN.
Technical Approach
In a nutshell
- IoT-NGIN federation approach
- on-the-fly adaptation and interpretation of heterogenous data and control messages
- privacy preserving federated ML training – Distributed AI
- keeping the data in their original locations
- Inter-DLT technologies for secure and trusted data sharing
- Zero knowledge techniques for ML models verification without disclosing any data
- Patterns based meta-architecture
- evolving, legacy, and future IoT architectures
- Optimized IoT/M2M and 5G/MCM communications
- secure-by-design micro-services to extend the edge cloud paradigm
- Enabling user and self-aware, autonomous IoT systems
- privacy-preserving federated ML
- ambient intelligence, with AR support for humans
- Researches towards distributed IoT cybersecurity and privacy
- Self-Sovereign Identities
- interconnected DLTs
- Meta-Level Digital Twins
Expected R&I Results
Research
- IoT Meta Architecture
- Enhance IoT/5G Further Enhancement Device-to-Device (FeD2D)
- Data sovereignty and privacy “by design”
- Privacy preserving federated ML
- Protection against attacks on federated ML
- DLT-based meta-level Digital Twins
Innovation
- Optimising 5G resource allocation
- Ultra reliable IoT based on Time Sensitive Networking
- Secure edge cloud IoT micro-services execution framework
- Ambient Intelligence monitoring and control
- Dynamic machine self-learning framework