Efficient Zero-Knowledge Identity: The 10,000x Data Privacy Breakthrough
As data marketplaces expand, the EZI system tackles critical challenges. For example, it manages identity verification and ownership proofs. It also safeguards privacy. Moreover, it offers massive efficiency gains over existing technologies.
Key Highlights from the Whitepaper
The EZI system uses simple modular arithmetic and hashing. As a result, it creates public identifiers. These enable zero-knowledge ownership verification and data grouping.
Here are some core features and benefits from the paper:
- System Components and Construction: Efficient Zero-Knowledge Identity uses two private 256-bit keys (iKey and verKey). It generates 512-bit public tags (iTag and verTag). It also creates a double-hashed signature (sign) and an optional groupTag. This ensures uniformity and independence. Therefore, outputs appear random.
- Security Properties: The EZI system resists quantum attacks. It uses arithmetic immune to Shor’s algorithm. It also prevents lattice attacks. It includes safeguards against side-channel issues and partial knowledge attacks. Furthermore, it adapts to various use cases.
- Efficiency Benchmarks: Tests show EZI generation takes 1.95 μs. Verification takes 0.78 μs on standard hardware. In fact, that’s over 10,000x faster than zk-SNARKs. It also outperforms post-quantum alternatives like CRYSTALS-Dilithium or zk-STARKs.
- Scalability for Data Marketplaces: In VALT’s platform, EZI lets users tag small “breadcrumbs.” Examples include GPS data or transactions. This supports secure selling. Buyers can run SQL-like queries on encrypted data. Consequently, it handles billions of users and trillions of data points with minimal resources.
The whitepaper also covers infrastructure. For instance, storage costs are about $1.5M monthly for 1B users’ yearly data. It addresses power needs too. Overall, this proves EZI’s global scalability.
Implications for Businesses
This innovation emphasizes the need for privacy-first solutions in data economies. For finance, healthcare, and e-commerce, the EZI system enables consent-based markets. It also complies with regulations like GDPR.
By hiding data in sparse datasets and supporting zero-knowledge delete requests, it reduces re-identification risks. Thus, it empowers users with precise control.
Quantum threats are growing. However, the EZI system’s design is future-ready. It replaces vulnerable systems like ECDSA or RSA. Beyond VALT, it applies to decentralized storage like IPFS, federated learning, and supply chain tools, where encrypted links boost efficiency.
Looking Ahead
This whitepaper marks a step toward VALT’s user-focused data platforms. We invite experts, researchers, and leaders to explore how Efficient Zero-Knowledge Identity can transform data strategies.
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