Dataspace PoC — IoT Data Exchange
A proof-of-concept secure data-sharing platform based on IDS principles — enabling policy-driven IoT data discovery, contract negotiation, and cross-party data transfer between providers and consumers.
/// overview
Developed a proof-of-concept data-sharing platform based on International Data Spaces (IDS) principles. Implements secure, policy-driven IoT data discovery, contract negotiation, transfer initiation, and usage-controlled analysis between data providers and consumers. Built on cloud-native infrastructure with OAuth2-based identity and IDS connector semantics.
The problem
Organizations collecting IoT sensor data have no standardized, sovereignty-preserving way to share that data with partners or customers — existing solutions either require full data transfer (losing control) or offer no discovery mechanism.
The approach
Implemented IDS connector components (Metadata Broker, Data Provider, Data Consumer) using Java/Python microservices. Built an OAuth2 identity federation layer and policy engine that enforces usage contracts before any data is transferred. IoT device data is registered with the Metadata Broker, consumers negotiate a contract, and data is delivered only within agreed policy bounds.
Outcome
Working PoC demonstrating end-to-end IDS-compliant data discovery, negotiation, and controlled transfer for IoT telemetry streams. Validated the architecture against three simulated provider-consumer scenarios.
More projects
RMIP — RTSP Metadata Injection Proxy
Real-time video synchronization that aligns delayed AI detections with live RTSP streams — integrating ODM, Milestone XProtect, and iSentry MMS for accurate overlay rendering.
Log Shipper Sidecar Injection Webhook
Kubernetes Mutating Admission Webhook in Go that automatically injects log-shipper sidecars into ML monitoring workloads — enabling centralized observability without manual pod spec changes.