Data fusion
strong simple signed schemas
Description
Volt4AI fuses data using strong but simple signed schemas — data is structured against lightweight schemas that are cryptographically signed, so fused data carries verifiable structure and origin.
Importance
Fused data is only useful if you can trust the structure and origin of what you combine; signed schemas make every fused record verifiable. Volt uses W3C Verifiable Credentials (Volt: Verifiable credentials).
Benefit
- Combines heterogeneous sources without losing trust in their structure or provenance.
- Simple schemas keep fusion fast and easy to validate.
Defence Relevance
Targeting requires combining many data sources into trusted information for allied use. Signed schemas implement the DTW’s “robust data standards” and signed metadata: in the NQM response, metadata is carried as a signed Verifiable Credential Schema, because unsigned metadata makes distributed enforcement insecure. Supports DTW Challenge 2 (combining data sources to produce information) and the Exploitable-by-Design metadata principle (61).
Civilian & Enterprise Relevance
Enterprises combining customer, supplier and IoT data get provenance-checked records fit for audit, regulatory reporting and analytics — and a trustworthy foundation for AI/ML inputs.
Related
- Volt4AI
- Signed
- Standardised
Sources
- Volt4AI Features Slide §Data fusion