Distributed Blockchain Governance for Big Data Sharing
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Solution Overview
Problem
Current systems face challenges in securely and efficiently managing and sharing big data among multiple stakeholders due to privacy and security constraints, particularly in ecosystems where data is a core commodity and is shared among entities with shared responsibility for ownership, storage, and usage.
Innovation Solution
A platform utilizing blockchain technology for secure, encrypted, and distributed ownership, storage, and usage of big data, enabling secure data sharing, auditing, and analytics through a distributed ledger and smart contracts, with features like access control, key management, and data workflow definition and execution engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is shared among multiple entities with shared responsibility, then data utility and collaboration are improved, but security and privacy protection become more difficult to ensure
Solution Approach 1:
The patent segments data into distributed shards stored across multiple nodes in a peer-to-peer network. Each node holds only a portion of the data, preventing any single entity from accessing complete sensitive information while collectively maintaining the full dataset. This segmentation enables both widespread data sharing and enhanced security through distributed storage.
Solution Approach 2:
The patent introduces cryptographic intermediaries including homomorphic encryption schemes and zero-knowledge proofs that enable computations and validations on encrypted data without decryption. These cryptographic intermediaries act as mediators that allow data utility operations while maintaining privacy and security constraints.
2Reliability
If centralized data management is used, then security control is improved, but single points of failure and regulatory compliance risks increase
Solution Approach 1:
The system segments centralized control functions into distributed components across the peer-to-peer network. Governance rules, access controls, and data management policies are distributed among nodes rather than centralized in a single authority, eliminating single points of failure while maintaining security control through distributed consensus mechanisms.
Solution Approach 2:
The patent implements dynamic, adaptive governance rules that can be modified through smart contracts on the distributed ledger. The system transitions from static centralized control to dynamic distributed governance where policies can be updated, audited, and enforced automatically across the network without requiring centralized intervention.
3Reliability
If data is encrypted to protect privacy, then security is improved, but data accessibility and usability deteriorate
Solution Approach 1:
The patent employs homomorphic encryption as a cryptographic intermediary that enables mathematical operations on encrypted data without decryption. This allows data to remain encrypted for privacy protection while still being accessible and usable for computations, analytics, and validation operations through the encryption intermediary.
Solution Approach 2:
The system replaces traditional mechanical decryption-access paradigms with cryptographic substitutes including homomorphic encryption and zero-knowledge proofs. Instead of decrypting data to access it, the system uses cryptographic proofs and encrypted computations to enable data usability while maintaining encryption, substituting the mechanical unlock approach with cryptographic alternatives.
Data Source
AI summary
Methods and systems for secure, encrypted and distributed ownership and usage of big data are provided. According to one example, a server maintains a local key management data store, a data blockchain copy, an audit blockchain copy, and a metadata blockchain copy. A data operation from a user electronic device is received. The server verifies that the user electronic device has access against the local key management data store, runs the data operation and records metadata about the data operation, and writes data blocks to the data blockchain copy, the audit blockchain copy, and the metadata blockchain copy. The server broadcasts the updated blockchain copies to the peer-to-peer network for replication.