Standardisation

To be recognized as a major contributor to the worldwide interoperability, security, privacy and safety of IoT systems and applications, and particularly for the development of the market in Europe

• Maintaining an IoT & Edge Computing standards framework landscape
• Gap analysis
• Computing Continuum
• High-Level Architectures for IoT, Edge Computing and Digital Twins
• IoT relation and impact on 5G and Beyond 5G
• Semantic Interoperability
• Security and privacy in computing continuum
• Collaborations

High Level Architecture for IoT, Edge Computing and Digital Twins

• IoT & Edge Computing Reference (High Level) Architecture and its mapping with existing IoT & Edge Computing Reference Architectures
• IoT Identification
• Architecture and interfaces for IoT & Edge Computing Data marketplaces, including guidelines for Data Access and Data Sharing and as well guidelines of enhancement of data sharing in support of the Green Deal

 

IoT & Edge Computing standards framework landscape

• IoT & Edge Computing Landscape maintenance to keep the liaisons alive and maintain dialogue on how to foster collaboration to improve interoperability & security
• IoT & Edge Computing impact on 5G (and beyond 5G)
• Gap analysis and recommendations
• Cooperation with SDOs/Alliances to foster co-creation and interworking
• IoT & Edge Computing standardisation and impact on the Industry Digitization
• IoT & Edge Computing standardisation and impact on the UN SDGs and European Green Deal
• Provide Computing Continuum standardisation requirements on IoT and edge computing and describe enablers, such as optical communications, that can solve these requirements

 

Semantic Interoperability

• Identification of missing (semantic) interoperability standards and technologies within IoT domains and cross – IoT domains and recommendations for solving them. In addition topics related to the impact of edge computing on semantic Interoperability will be as well taken into account.
• Promoting the use and development of ontologies and semantic tools to enable semantic interoperability between different actors within IoT domains and cross – IoT domains.
• Landscape of ontologies supporting semantic interoperability

 

Security and Privacy

Privacy:

1. GDPR conformance of communications and data storage in an IoT network and in devices
2. Careful identification of properties of devices, restriction to absolutely necessary data details, etc.
3. Anonymity preservation: considering their different roles in various applications, including AI aspects, transparency in processing, disclosure/transfer control, threat analysis, certification, encryption, best practices for compliance, stakeholder roles/rights/responsibilities, domains:  personal tracking (from fitness apps to electronic tickets for public transport, healthcare, smart home), de-personalization of data to safeguard privacy (e.g. when building digital twins)
4. Assessment and certification/qualification: threat analysis, certification, best practices for compliance, stakeholder roles/rights/responsibilities for IoT/Edge Computing (e.g. devices, infrastructures, platforms)
5. Privacy in complex systems/system of systems (e.g. edge analytic, data spaces, digital twins, AI systems), network, service, resource and data orchestration and decentralisation

Security:

1. Cybersecurity assurance of complex system (digital twins, AI systems)
2. AI based threat detection and classification
3. Security of edge processing
4. IoT/Edge computing related to human & infrastructure safety and security in various applications including AI aspectsSecurity and privacy of autonomous vehicles and drones
5. Physical security of unattended devices; cybersecurity, security and privacy of verticals (e.g. health, manufacturing, mobility and critical infrastructure)

Deliverables:

• Report on prioritised topics
• Contribution to events
• Input to standardisation process & ongoing projects