6G Workstream
Knowledge areas:
- Networking Systems and Architectures
- ISAC (Integrated Sensing and Communications)
- Open Radio Access Networks
- Advanced Spectrum Management
- Cybersecurity
- Experimentation and Reproducibility
- 6G and Societal Values
- Energy Efficiency
- AI and 6G Synergies
- 6G Use cases
- Chips and materials
Knowledge area priority ranking
| Knowledge Area | Priority ranking |
|---|---|
| Networking Systems and Architectures | 2.58 |
| ISAC (Integrated Sensing and Communications) | 2.28 |
| Open Radio Access Networks | 2.14 |
| Advanced Spectrum Management | 2.02 |
| Cybersecurity | 2.43 |
| Experimentation and Reproducibility | 1.92 |
| 6G and Societal Values | 2.18 |
| Energy Efficiency | 2.27 |
| AI and 6G Synergies | 2.37 |
| 6G Use cases | 2.13 |
| Chips and materials | 2.10 |
Key pointers:
- Networking Systems & Architectures has the highest Knowledge Area Significance (KAS), showing strong technical importance in the 6G landscape.
- Cybersecurity scores strongly across all three dimensions (KAS, DPR, and KSDO), indicating both high relevance and strong standardisation activity.
- Energy Efficiency is another high-significance area (KAS), reflecting Europe’s sustainability priorities in future 6G systems.
- Open Radio Access Networks (Open RAN) and Advanced Spectrum Management show moderate scores across dimensions, indicating active but still developing focus in partnerships and standards.
- Experimentation and Reproducibility and 6G & Societal Values show lower alignment with standards bodies (KSDO) despite some relevance in expert assessments.
- Integrated Sensing and Communications (ISAC) and AI & 6G Synergies appear as emerging areas with moderate significance but less mature standardisation coverage.
Knowledge area to SDO mapping:
| SDO | Knowledge area |
|---|---|
| 3GPP | Networking systems and architectures ISAC Advanced Spectrum Management AI and 6G Synergies Energy Efficiency 6G Use-cases |
| ETSI | Networking systems and architectures ISAC Advanced Spectrum Management AI and 6G Synergies Cybersecurity |
| IETF and IRTF | Networking systems and architectures AI and 6G Synergies Energy efficiency 6G Use-cases 6G societal values |
| ITU (ITU-R, ITU-T, ITU-D) | Networking systems and architectures Open RAN Advanced Spectrum Management Cybersecurity Energy efficiency 6G Use-cases 6G Societal Values |
| CEN-CENELEC | Cybersecurity AI and 6G Synergies Energy efficiency |
| IEEE | Networking system and architectures ISAC Advanced Spectrum Management Cybersecurity AI and 6G Synergies Energy efficiency |
Knowledge area mapping to Digital Partnerships
| Partner | Knowledge areas |
|---|---|
| South Korea | AI and 6G synergies Energy efficiency Networking Systems and Architectures Cybersecurity Open RAN Advanced Spectrum Management |
| Singapore | Networking Systems and Architectures Open RAN 6G Use-cases |
| USA | Network systems and architectures ISAC AI and 6G synergies 6G and societal values 6G Use-cases |
| Japan | Networking systems and architectures ISAC Open RAN Cybersecurity Advanced Spectrum Management 6G and societal values AI and 6G synergies Experimentation and Reproducibility |
| Canada | Networking systems and architectures Cybersecurity Experimentation and Reproducibility |
| Australia | Networking systems and architectures Open RAN Advanced Spectrum Management Cybersecurity Experimentation and Reproducibility AI and 6G synergies |
| Taiwan | Networking systems and architectures 6G Use-cases |
AI Workstream
Knowledge areas
- Development of EU AI-Act compliance standards
- Frameworks for the ethical use of AI
- Cross-cutting AI standards
- Transparency and Explainabilty
- Data Governance and privacy
- Sector-specific AI standards with industrail and economic focus
- AI safety and security standards
- Human-AI collaboration and interaction guidelines
- AI lifecycle management
- Bias in AI fairness
- Support for SMEs and startups
- Sustainability and Environmental Impact of AI
- Integration with Emerging technologies
- Agentic AI
| Knowledge Area | Priority ranking |
|---|---|
| Development of EU AI-Act compliance standards | 2.47 |
| Frameworks for the ethical use of AI | 2.26 |
| Cross-cutting AI standards | 2.97 |
| Transparency and explainability | 2.68 |
| Data Governance and privacy | 2.57 |
| Sector-specific AI standards with industrial and economic focus | 3.06 |
| AI safety and security standards | 2.81 |
| Human-AI collaboration and interaction guidelines | 2.75 |
| AI lifecycle management | 2.00 |
| Bias in AI fairness | 2.56 |
| Support for SMEs and startups | 2.19 |
| Sustainability and Environmental Impact of AI | 2.58 |
| Integration with emerging technologies | 2.21 |
| Agentic AI | 2.27 |
Key pointers:
- Cross-cutting AI standards and sector-specific AI standards are the strongest overall priorities, combining high significance (KAS) and strong alignment with standards bodies (KSDO).
- AI safety and security standards show high relevance in digital partnerships (DPR) and strong technical importance, making them a major collaboration focus.
- Transparency & Explainability and Human-AI collaboration guidelines have balanced performance across the three dimensions, supporting trustworthy AI deployment.
- Data governance and privacy is highly visible in digital partnerships, highlighting its importance for international cooperation on AI.
- Sustainability & environmental impact of AI and AI fairness (bias) score high in significance (KAS) but have lower partnership and standards visibility, revealing a gap between EU priorities and global standardisation.
- AI lifecycle management, SME support, and emerging AI topics (e.g., agentic AI) show lower overall priority, reflecting either early-stage maturity or limited international visibility.
Knowledge area to SDO mapping
| SDO | Knowledge area |
|---|---|
| ISO/IEC | Frameworks for ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Human-AI collaboration and interaction guidelines AI lifecycle management Bias in AI fairness |
| CEN-CENELEC | Development of EU AI-Act compliance standards Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Human-AI collaboration and interaction guidelines AI lifecycle management |
| ETSI | Development of EU AI-Act compliance standards Cross-cutting AI standards Sector-specific AI standards with industrial and economic focus AI safety and security standards |
| IEEE | Frameworks for the ethical use of AI Cross-cutting AI standards Sector-specific AI standards with industrial and economic focus AI lifecycle management Agentic AI |
| MPAI | Cross-cutting AI standards Sector-specific AI standards with industrial and economic focus Human-AI collaboration and interaction guidelines Integration with Emerging technologies |
Knowledge area mapping to Digital Partnership
| Partner | Knowledge areas |
|---|---|
| South Korea | Development of EU AI-Act compliance standards Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Human-AI collaboration and interaction guidelines AI lifecycle management Bias in AI fairness Support for SMEs and startups Integration with Emerging technologies Agentic AI |
| Singapore | Development of EU AI-Act compliance standards Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Human-AI collaboration and interaction guidelines Bias in AI fairness Support for SMEs and startups Integration with Emerging technologies |
| USA | Frameworks for the ethical use of AI Cross-cutting AI standards Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards |
| Japan | Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Human-AI collaboration and interaction guidelines Bias in AI fairness Integration with Emerging technologies Agentic AI |
| Canada | Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Bias in AI fairness |
| Australia | Development of EU AI-Act compliance standards Frameworks for the ethical use of AI Cross-cutting AI standards Transparency and Explainability Data Governance and privacy Sector-specific AI standards with industrial and economic focus AI safety and security standards Bias in AI fairness |
| Taiwan | Development of EU AI-Act compliance standards Frameworks for the ethical use of AI Cross-cutting AI standards Data Governance and privacy AI safety and security standards AI lifecycle management Bias in AI fairness |
CEI Workstream
Knowledge areas
Cloud/Edge:
- (loT) Edge computing on Unmanned Aircraft Systems
- Edge devices & sensors, especially for medical use
- Architecture consideration for IoT, Edge, Cloud
- IoT/CEI reference architecture
- Interoperability of IoT and Edge devices and protocols
- Electrical energy efficient products
- Privacy and security framework for consumer wireless
IoT:
- Guidance on IoT and digital twin integrations in data spaces
- Architecture consideration for IoT, Edge, Cloud
- IoT/CEI reference architecture
- Evaluations schemes for IoT
- Electrical energy efficient products
- Privacy and security framework for consumer wireless
- AIoT
| Knowledge Area | Priority ranking |
|---|---|
Cloud/Edge | |
| (loT) Edge computing on Unmanned Aircraft Systems | 1.79 |
| Edge devices & sensors, especially for medical use | 1.95 |
| Architecture consideration for IoT, Edge, Cloud | 1.90 |
| IoT/CEI reference architecture | 1.86 |
| Interoperability of IoT and Edge devices and protocols | 2.25 |
| Electrical energy efficient products | 2.18 |
| Privacy and security framework for consumer wireless | 1.83 |
IoT | |
| Guidance on IoT and digital twin integrations in data spaces | 2.30 |
| Architecture consideration for IoT, Edge, Cloud | 2.05 |
| IoT/CEI reference architecture | 1.84 |
| Evaluations schemes for IoT | 2.07 |
| Electrical energy efficient products | 2.30 |
| Privacy and security framework for consumer wireless | 1.96 |
| AIoT | 2.08 |
Key pointers:
Cloud-Edge-IoT (CEI)
- Electrical energy-efficient products show the highest Knowledge Area Significance (KAS), highlighting sustainability and energy efficiency as key priorities.
- Interoperability of IoT and edge devices/protocols also scores high in significance and standards alignment (KSDO), reflecting active work in standards bodies.
- Edge devices and sensors (especially medical use) demonstrate strong standardisation alignment, indicating mature standards activity.
- Architecture considerations for IoT, Edge, and Cloud and IoT/CEI reference architectures show strong Digital Partnership Relevancy (DPR) but moderate technical significance.
- Privacy and security frameworks for consumer wireless have moderate alignment with standards but lower significance compared with other CEI topics.
IoT
- Guidance on IoT and digital twin integrations in data spaces shows very high significance (KAS) and strong partnership relevance, marking it as a key strategic direction.
- Electrical energy-efficient IoT products again appear as one of the strongest priorities, reinforcing sustainability across IoT ecosystems.
- Architecture considerations for IoT, Edge, and Cloud and IoT/CEI reference architectures maintain strong relevance across digital partnerships (DPR).
- AIoT (Artificial Intelligence of Things) shows strong alignment with standards work (KSDO) but only moderate significance in expert assessments.
- Privacy and security frameworks for consumer wireless and IoT evaluation schemes appear less significant or less represented in standardisation, indicating emerging or niche areas.
Knowledge area to SDO mapping
| SDO | Knowledge area |
|---|---|
| CEN-CENELEC | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Interoperability of IoT and Edge devices and protocols Privacy and security framework for consumer wireless (Cloud/Edge) Guidance on IoT and digital twin integrations in data spaces |
| ETSI | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Interoperability of IoT and Edge devices and protocols Privacy and security framework for consumer wireless (Cloud/Edge) Guidance on IoT and digital twin integrations in data spaces Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture |
| IEEE | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Privacy and security framework for consumer wireless (Cloud/Edge) Privacy and security framework for consumer wireless (IoT) |
| ISO/IEC | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Interoperability of IoT and Edge devices and protocols Electrical energy efficient products Privacy and security framework for consumer wireless (Cloud/Edge) Guidance on IoT and digital twin integrations in data spaces Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Evaluations schemes for IoT Electrical energy efficient products Privacy and security framework for consumer wireless (IoT) AIoT |
| IETF | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Guidance on IoT and digital twin integrations in data spaces Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Evaluations schemes for IoT Electrical energy efficient products Privacy and security framework for consumer wireless (IoT) AIoT |
| OneM2M | Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud Interoperability of IoT and Edge devices and protocols AIoT |
Knowledge area mapping to Digital Partnerships
| Partner | Knowledge areas |
|---|---|
| South Korea | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Interoperability of IoT and Edge devices and protocols Electrical energy efficient products Privacy and security framework for consumer wireless (Cloud/Edge) Guidance on IoT and digital twin integrations in data spaces Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Evaluations schemes for IoT Electrical energy efficient products Privacy and security framework for consumer wireless (IoT) AIoT |
| Singapore | (loT) Edge computing on Unmanned Aircraft Systems Edge devices & sensors, especially for medical use Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Interoperability of IoT and Edge devices and protocols Electrical energy efficient products Privacy and security framework for consumer wireless (Cloud/Edge) Guidance on IoT and digital twin integrations in data spaces Architecture consideration for IoT, Edge, Cloud IoT/CEI reference architecture Evaluations schemes for IoT Electrical energy efficient products Privacy and security framework for consumer wireless (IoT) AIoT |
Data Workstream
Knowledge areas
- Data governance, incl. management, quality
- Data sharing
- Data usage
- Data spaces incl. interoperability, maturity
- Trusted data framework incl. transactions
- Data spaces (maturity model) to scale data flows across regions
- Semantic assets
- Catalogue meta data
Knowledge area priority ranking
| Knowledge Area | Priority ranking |
|---|---|
| Data governance, incl. management, quality | 2.19 |
| Data sharing | 2.53 |
| Data usage | 2.24 |
| Data spaces incl. interoperability, maturity | 2.35 |
| Trusted data framework incl. transactions | 1.61 |
| Data spaces (maturity model) to scale data flows across regions | 1.96 |
| Semantic assets | 1.58 |
| Catalogue meta data | 1.88 |
Key pointers:
- Data sharing shows the highest Knowledge Area Significance (KAS), highlighting its importance for enabling cross-sector data exchange and digital ecosystems.
- Data spaces (including interoperability and maturity) score high in Digital Partnership Relevancy (DPR) and strong overall importance, making them a major focus for international collaboration.
- Data governance (including data management and quality) is highly visible in digital partnership agendas, reflecting strong policy alignment across international initiatives.
- Data usage shows moderate scores across all three dimensions, indicating relevance but less strategic emphasis than data sharing or data spaces.
- Data spaces maturity models for scaling data flows demonstrate strong alignment with standards activities (KSDO), suggesting active standardisation work.
- Catalogue metadata, semantic assets, and trusted data frameworks show lower overall scores, indicating emerging or more specialised areas with limited partnership visibility and standardisation maturity.
Knowledge area to SDO mapping
| SDO | Knowledge area |
|---|---|
| CEN-CENELEC | Data governance, incl. management, quality Data sharing Data usage Data spaces incl. interoperability, maturity |
| ETSI | Data spaces incl. interoperability, maturity |
| IEEE SA | Data sharing Data spaces incl. interoperability, maturity |
| ISO/IEC | Data governance, incl. management, quality Data spaces incl. interoperability, maturity |
Knowledge area mapping to Digital Partnerships
| Partner | Knowledge areas |
|---|---|
| South Korea | Data spaces incl. interoperability, maturity Data governance, incl. management, quality Data usage |
| Singapore | Data spaces incl. interoperability, maturity Data sharing |
| Japan | Data spaces incl. interoperability, maturity Data governance, incl. management, quality Data sharing Data usage Catalogue meta data |
| Canada | Data spaces incl. interoperability, maturity Data governance, incl. management, quality |
Cybersecurity Workstream
Knowledge areas
- Apply least privilege, least persistence principles to all systems and devices
- Adopt Quantum-Resistant Cryptography.
- Ensure risk-based cryptographic protection for all systems, including IoT, automotive, etc.
- Improve the security of software supply chains through SBOMs and related tools. Identify current gaps and list missing standards.
- Promote Cross-Border Cybersecurity Standards Alignment.
- Harmonise standards for vulnerability handling.
- Ensure Security Conformity for IoT Product.
- Promote compliance with EU regulations.
- Address AI and ML systems vulnerabilities and attacks.
- Extend PKI to support large-scale IoT deployments.
- Promote Security-by-Design Principles.
- Strengthen cloud security across services and infrastructure.
- Promote the European Digital Identity Wallet (EUDIW) adoption.
- Ensure digital identity and wallet interoperability across EU countries.
- Develop frameworks for decentralised digital identity.
- Support self-sovereign identity solutions.
- Align trust services for recognition across borders.
- Guarantee strong security measures in digital wallets.
- Make digital identity systems accessible and inclusive.
- Embed privacy-by-design principles in eID wallets.
- Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets.
- Create trust frameworks to support decentralised identity use
- Develop standards for cross-sector identity use
Knowledge area priority ranking
| Knowledge Area | Priority ranking |
|---|---|
| Apply least privilege, least persistence principles to all systems and devices | 2.57 |
| Adopt Quantum-Resistant Cryptography | 4.29 |
| Ensure risk-based cryptographic protection for all systems, including IoT, automotive, etc. | 0.57 |
| Improve the security of software supply chains through SBOMs and related tools. Identify current gaps and list missing standards | 0.00 |
| Promote cross-border cybersecurity standards alignment | 1.43 |
| Harmonise standards for vulnerability handling | 4.00 |
| Ensure security conformity for IoT products | 0.71 |
| Promote compliance with EU regulations | 2.14 |
| Address AI and ML systems vulnerabilities and attacks | 0.00 |
| Extend PKI to support large-scale IoT deployments | 1.00 |
| Promote security-by-design principles | 0.00 |
| Strengthen cloud security across services and infrastructure | 0.00 |
| Promote the European Digital Identity Wallet (EUDIW) adoption | 2.43 |
| Ensure digital identity and wallet interoperability across EU countries | 2.29 |
| Develop frameworks for decentralised digital identity | 0.86 |
| Support self-sovereign identity solutions | 0.00 |
| Align trust services for recognition across borders | 2.29 |
| Guarantee strong security measures in digital wallets | 1.57 |
| Make digital identity systems accessible and inclusive | 1.29 |
| Embed privacy-by-design principles in eID wallets | 0.43 |
| Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets | 1.00 |
| Create trust frameworks to support decentralised identity use | 1.29 |
| Develop standards for cross-sector identity use | 4.00 |
Key pointers:
- Post-quantum cryptography emerges as the strongest collaboration priority, combining high technical significance, strong presence in digital partnerships, and active standardisation work.
- Digital identity interoperability and European Digital Identity Wallet (EUDIW) show high significance and policy relevance, reflecting the EU focus on cross-border trusted identity ecosystems.
- AI/ML system vulnerabilities and attacks represent a high-impact security area, highlighting the growing need to secure AI-driven systems.
- Harmonised vulnerability handling standards and cross-border cybersecurity alignment have strong visibility in digital partnerships, supporting coordinated international security frameworks.
- Privacy-preserving identity technologies (e.g., zero-knowledge proofs) and trust frameworks for decentralised identity show good alignment with standards development activities.
- IoT security, software supply-chain security (SBOMs), and self-sovereign identity are recognised as important but currently show lower maturity or visibility in partnerships and standardisation efforts.
Knowledge area to SDO mapping
| SDO | Knowledge area |
|---|---|
| CEN-CENELEC | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Ensure a risk based cryptographic protection for all systems, including IoT, automotive, etc. Improve the security of software supply chains through SBOMs and related tools. Identify current gaps and list missing standards. Promote Cross-Border Cybersecurity Standards Alignment. Harmonise standards for vulnerability handling. Ensure Security Conformity for IoT Product. Promote compliance with EU regulations. Address AI and ML systems vulnerabilities and attacks. Extend PKI to support large-scale IoT deployments. Promote Security-by-Design Principles. Strengthen cloud security across services and infrastructure. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Develop frameworks for decentralised digital identity. Support self-sovereign identity solutions. Align trust services for recognition across borders. Guarantee strong security measures in digital wallets. Make digital identity systems accessible and inclusive. Embed privacy-by-design principles in eID wallets. Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. Create trust frameworks to support decentralised identity useDevelop standards for cross-sector identity use |
| ETSI | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Ensure a risk based cryptographic protection for all systems, including IoT, automotive, etc. Promote Cross-Border Cybersecurity Standards Alignment. Harmonise standards for vulnerability handling. Promote compliance with EU regulations. Extend PKI to support large-scale IoT deployments. Promote Security-by-Design Principles. Strengthen cloud security across services and infrastructure. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Align trust services for recognition across borders. Guarantee strong security measures in digital wallets. Make digital identity systems accessible and inclusive. Embed privacy-by-design principles in eID wallets. Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. Create trust frameworks to support decentralised identity useDevelop standards for cross-sector identity use |
| ISO/IEC | Adopt Quantum-Resistant Cryptography. Ensure a risk based cryptographic protection for all systems, including IoT, automotive, etc. Promote Cross-Border Cybersecurity Standards Alignment. Harmonise standards for vulnerability handling. Promote compliance with EU regulations. Address AI and ML systems vulnerabilities and attacks. Promote Security-by-Design Principles. Strengthen cloud security across services and infrastructure. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Develop frameworks for decentralised digital identity. Align trust services for recognition across borders. Guarantee strong security measures in digital wallets. Make digital identity systems accessible and inclusive. Embed privacy-by-design principles in eID wallets. Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. Create trust frameworks to support decentralised identity useDevelop standards for cross-sector identity use |
| IETF | Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. |
| NIST | Adopt Quantum-Resistant Cryptography |
Knowledge area mapping to Digital Partnerships
| Partner | Knowledge areas |
|---|---|
| South Korea | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Harmonise standards for vulnerability handling. Extend PKI to support large-scale IoT deployments. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Develop frameworks for decentralised digital identity. Align trust services for recognition across borders. Guarantee strong security measures in digital wallets. Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. Create trust frameworks to support decentralised identity use. Develop standards for cross-sector identity use. |
| Singapore | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Harmonise standards for vulnerability handling. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Align trust services for recognition across borders. Make digital identity systems accessible and inclusive. Develop standards for cross-sector identity use. |
| USA | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Harmonise standards for vulnerability handling. Develop standards for cross-sector identity use. Promote Cross-Border Cybersecurity Standards Alignment. Promote compliance with EU regulations. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Develop frameworks for decentralised digital identity. Guarantee strong security measures in digital wallets. Make digital identity systems accessible and inclusive. Embed privacy-by-design principles in eID wallets. Development of selective disclosure and zero-knowledge proofs (ZKPs) in the eID wallets. Create trust frameworks to support decentralised identity use |
| Japan | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Ensure a risk based cryptographic protection for all systems, including IoT, automotive, etc. Harmonise standards for vulnerability handling. Ensure Security Conformity for IoT Product. Promote compliance with EU regulations. Extend PKI to support large-scale IoT deployments. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Align trust services for recognition across borders. Guarantee strong security measures in digital wallets. Make digital identity systems accessible and inclusive. Create trust frameworks to support decentralised identity use Develop standards for cross-sector identity use |
| Canada | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Promote Cross-Border Cybersecurity Standards Alignment. Harmonise standards for vulnerability handling. Promote compliance with EU regulations. Promote the European Digital Identity Wallet (EUDIW) adoption. Ensure digital identity and wallet interoperability across EU countries. Align trust services for recognition across borders. Develop standards for cross-sector identity use. |
| Australia | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Harmonise standards for vulnerability handling. Develop standards for cross-sector identity use. |
| Taiwan | Apply least privilege, least persistence principles to all systems and devices. Adopt Quantum-Resistant Cryptography. Harmonise standards for vulnerability handling. Develop standards for cross-sector identity use. |
Quantum Workstream
Knowledge areas
- Quantum Communication Networks
- Quantum Computing
- Quantum Metrology and Sensing
- Quantum enabling technologies, subsystems, platforms, and composite systems
Knowledge area priority ranking
| Knowledge Area | Priority ranking |
|---|---|
| Quantum Communication Networks | 2.78 |
| Quantum Computing | 2.45 |
| Quantum Metrology and Sensing | 2.53 |
| Quantum enabling technologies, subsystems, platforms, and composite systems | 1.98 |
Key pointers:
- Quantum communication networks show the highest relevance in digital partnerships (DPR), reflecting strong international interest in secure quantum communication infrastructures.
- Quantum metrology and sensing exhibit the highest technical significance (KAS), highlighting their strong scientific and technological impact.
- Quantum computing shows moderate scores across significance, partnerships, and standards alignment, indicating steady but balanced development.
- Quantum enabling technologies and subsystems currently show lower representation in partnerships and standardisation, suggesting a more emerging or foundational stage.
Knowledge area to SDO mapping
| SDO | Knowledge area |
|---|---|
| CEN-CENELEC JTC22 | Quantum Communication Networks Quantum Computing Quantum Metrology and Sensing Quantum enabling technologies, subsystems, platforms, and composite systems |
| ETSI ISG QKD | Quantum Communication Networks |
| ITU-T | Quantum Communication Networks |
| ISO/IEC JTC3 | Quantum Communication Networks |
Knowledge area mapping to Digital Partnerships
| Partner | Knowledge areas |
|---|---|
| South Korea | Quantum Communication Networks Quantum Metrology and Sensing |
| Singapore | Quantum Communication Networks |
| USA | Quantum Computing Quantum Metrology and Sensing |
| Japan | Quantum Computing |
| Canada | Quantum Communication Networks |
| Australia | Quantum Communication Networks Quantum Computing |