Web3 Privacy Technologies: ZKPs, FHE, and Garbled Circuits
Summary
The document surveys privacy technologies used in Web3 and describes the problems they aim to address. Zero-knowledge proofs can establish that a claim is valid without exposing its underlying data, with possible uses in private transactions and identity checks. Fully homomorphic encryption supports computation on encrypted data, while garbled circuits offer another approach to processing contract inputs privately. Decentralized identity systems can use selective disclosure to share only the information needed for verification.
It outlines potential applications in DeFi, healthcare, and gaming, and frames privacy as relevant to institutional use and regulatory compliance. The article also identifies computational cost, user and developer education, and compliance at scale as adoption challenges. Its examples are descriptive rather than comparative: it provides no benchmarks, security analysis, or evidence that one method outperforms another. It also raises AI and quantum computing as emerging privacy concerns and mentions quantum-resistant cryptography as a response.
Key ideas
- Zero-knowledge proofs can verify claims without revealing the data behind them.
- Fully homomorphic encryption allows computation on encrypted information.
- Garbled circuits are presented as another way to process smart contract data privately.
- Selective disclosure can limit the information shared during decentralized identity verification.
- Computational demands, adoption barriers, and regulatory requirements complicate wider deployment.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.