Product Information

Description

DART addresses the challenge of ensuring data reliability from decentralized oracle networks by implementing a statistical correlation model across sensor deployments. The system operates by grouping sensors into correlation areas where off-chain measurements are expected to follow predictable statistical relationships. Once these correlation patterns are established, data from individual sensors is validated against readings from randomly selected neighboring nodes, with trust assigned only when correlation exceeds predefined thresholds. This approach provides Byzantine fault tolerance by requiring attackers to control a majority of sensors within a correlation area to compromise data integrity. The platform incorporates a multi-signature scheme where oracles cryptographically sign their contributions when correlation levels are met, creating an auditable trail for traceability applications. To incentivize proper behavior, sensor nodes receive spendable assets as rewards for providing reliable data, creating economic alignment with network integrity. Potential use cases include supply chain monitoring, environmental sensing networks, and any decentralized application requiring verifiable real-world data with built-in trust mechanisms.

Categories

Decentralized/Blockchain

Linked NGI Projects

This product was created or improved through NGI-funded projects