Project Proposal Template: Privacy Shield Search
Version: 1
Category: Ecosystem Development
Requested Funding: 400K $IOTX
1. Executive Summary
“Privacy Shield Search transforms smartphones into zero-trust data nodes, enabling anonymous search monetization via ZK-proofs. Users earn $IOTX while enterprises access compliant datasets. Pilot targets 50K users in San Francisco.”
2. Problem Statement
| Issue | Current Market Failure |
|---|---|
| Surveillance capitalism | Google/Facebook exploit user data |
| Low-value data compensation | Users earn $0 for $500/yr in generated value |
| Regulatory non-compliance | 83% of data brokers violate GDPR |
3. Technical Solution
Core Architecture
graph TD
A[User Smartphone] -->|Encrypted Queries| B[W3bstream Layer]
B --> C{Proof Optimization}
C -->|Low-end devices| D[Proxy Computation]
C -->|High-end devices| E[On-Device zkSNARK]
D & E --> F[Mint NFT Data Pod]
F --> G[IoTeX Marketplace]
G --> H[Enterprise Buyers]
Key Innovations
- Mobile-Optimized ZK:
- Proof sharding (3-node parallel processing)
- Proxy mode for devices <4GB RAM
- Battery saver mode (<20% threshold)
- NFT Data Pods:
ERC-1155 container with: - 500+ mixed queries - ZK-proof of authenticity - Geolocation blur (10km² precision) - Time anonymization (±6h window)
4. Implementation Roadmap
| Phase | Timeline | Deliverables | KPI |
|---|---|---|---|
| MVP | Q4 2025 | Android/iOS app + Testnet integration | 10K test users |
| Security | Q1 2026 | Halborn audit + Mainnet launch | 0 critical vulnerabilities |
| Scale | Q2 2026 | Enterprise API + SF pilot | 50K active users |
5. Resource Requirements
| Component | Cost (in $IOTX) | Justification |
|---|---|---|
| Mobile Development | 150,000 | React Native + W3bstream SDK |
| zkSNARK Optimization | 90,000 | Halborn audit + Rollers integration |
| Data Marketplace | 80,000 | Smart contracts + UI |
| SF Pilot Marketing | 80,000 | User acquisition incentives |
6. Risk Mitigation
| Risk | Mitigation Strategy |
|---|---|
| Mobile Performance Issues | - Proxy computation layer - Adaptive proof complexity |
| ZK Metadata Leakage | Pre-launch audit + 10km² geofuzzing |
| Low User Adoption | Gamified onboarding: - Privacy score dashboard - $IOTX referral bonuses |
| Regulatory Challenges | On-chain compliance proofs CCPA/GDPR advisory board |
7. Success Metrics
| Metric | Target (Year 1) |
|---|---|
| Active Users | 50,000 |
| $IOTX Distributed | 1.2M |
| Data Pod Sales Volume | $250,000 |
| Device Impact | <3% daily battery |
8. Team & Governance
- Technical Lead: [Experience with ZK/DePIN]
- Advisors: 2 IoTeX Core Devs (requested)
- DAO Oversight:
- Monthly transparency reports
- $IOTX staker voting on feature prioritization
- Treasury multisig: 3/5 signatures required
9. Call to Action
We request:
- Technical Feedback from @IoTeX_Core_Team
- Community Sentiment Poll:
[ ] Support full proposal [ ] Request POC before funding [ ] Concerns about economic model - Grant Approval for Phase 1 (150K $IOTX)
Tags: #DePIN #GrantProposal #Privacy #DataEconomy
.
Mass adoption: 50K+ phones = instant DePIN scaling (no new hardware).
Revenue streams: Marketplace fees + boosted $IOTX utility.
Tech showcase: First large-scale mobile ZK implementation in DePIN.