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Use Case: Privacy-Preserving Data Sharing & Analytics
Key Challenges
Data Privacy
Organizations or individuals often hesitate to share raw datasets (e.g., health records, financial data) because of regulatory requirements (HIPAA, GDPR) or competitive concerns.
Trust
Data owners want assurances that the requester (analytics platform, data buyer) won’t misuse or leak the data.
Verification of Usage
The analytics platform wants proof it received valid data without seeing sensitive details. Similarly, data owners want confirmation the platform used the data only as agreed—e.g., for training a model or generating aggregated statistics—and didn’t exfiltrate it.
Conceptual Architecture
Data Owners
Hold private or proprietary data (e.g., hospital data, IoT sensor readings).
Choose what subset of data they’re willing to share or monetize.
Generate Zero-Knowledge Proofs that attest to certain properties (e.g., sums, averages, counts) without exposing raw data.
AI/Analytics Platform
Receives proofs or encrypted partial data from the Data Owners.
Verifies proofs on INTMAX to ensure data authenticity and compliance with usage rules.
May run advanced analytics or train AI models on aggregated, privacy-preserved data.
INTMAX Network
Stateless Rollup: Only commits a Merkle tree root (5 bytes) to Ethereum for each block.
ZKPs & BLS Signatures: Enables private transactions and trustless proofs of correctness.
Smart Contracts or minimal on-chain logic to orchestrate payments, record hashed references to data, or enforce usage policies.
Payment and Incentive Layer
Data owners get paid in ETH or tokens for providing data proofs.
Machine-to-machine micropayments occur frictionlessly on INTMAX because of near-zero gas fees.
Only minimal state (e.g., final transaction outcomes, account balances) is recorded on Ethereum in the Merkle root.
Summarized Flow
User Local ZKP Engines: Provide Data Owners with user-friendly tooling (dockerized or local binaries) to generate proofs about their data.
Off-Chain Data Exchange: Deploy an IPFS or specialized secure data channel for partial data transfers.
INTMAX Smart Contracts:
A minimal contract storing logic for “Data Bounties” or “Data Queries.”
Funds locked in escrow, automatically released to data providers who present valid proofs (verified by the rollup).
Rollup Verification: INTMAX rollup nodes process ZK proofs off-chain and finalize the updated Merkle root on Ethereum.
AI Analytics Layer:
Receives aggregated data or partial encrypted data.
Optionally generates proofs of correct usage/training.
Automates bridging or micropayments so Data Owners are compensated in near-real-time.
Benefits
Regulatory Compliance
By not storing raw data on-chain and using privacy-preserving proofs, organizations meet HIPAA/GDPR requirements.
Scalability & Low Overhead
With only 5 bytes stored on Ethereum per block, the system can handle large volumes of data events and still remain cost-effective.
Trust Reduction
ZKPs eliminate the need for a trusted “middleman.” Data owners trust the cryptographic system rather than a centralized analytics provider.
Flexible Monetization
Data owners can set their own terms, with automated, granular micropayments or bounties for specific data queries.