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| 后量子密码学（Kyber）× | zk-SNARK× | |
|---|---|---|
| 领域 | 密码学 | 密码学 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 2022 | 2014 |
| 提出者≠ | NIST PQC Standardization Project | Eli Ben-Sasson |
| 类型≠ | post-quantum key encapsulation mechanism | zero-knowledge argument of knowledge |
| 开创性文献≠ | Avanzi, R., Bos, J., Ducas, L., & Kiltz, E. (2022). CRYSTALS-Kyber algorithm specification and supporting documentation. NIST Post-Quantum Cryptography Project. link ↗ | Ben-Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E., & Virza, M. (2014). Zerocash: Decentralized Anonymous Payments from Bitcoin. In IEEE Symposium on Security and Privacy (SP), pp. 459-474. DOI ↗ |
| 别名 | PQC, quantum-resistant cryptography, quantum-safe | zk-SNARK, zero-knowledge proof, SNARK |
| 相关 | 3 | 3 |
| 摘要≠ | Post-quantum cryptography comprises cryptographic algorithms believed to be secure against both classical and quantum computers. In 2022, NIST standardized post-quantum algorithms including ML-KEM (CRYSTALS-Kyber) for key encapsulation and ML-DSA (CRYSTALS-Dilithium) for signatures. Post-quantum cryptography is essential for systems requiring long-term confidentiality, as adversaries may record encrypted communications today and decrypt them once quantum computers become available. | A zk-SNARK (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) is a cryptographic proof system that allows a prover to convince a verifier that a statement is true without revealing any information beyond the statement's validity. The acronym describes its key properties: it requires no interaction, proofs are short (succinct), and verification is efficient. zk-SNARKs were popularized by their application in the Zcash cryptocurrency but have since found use in blockchain scaling solutions, privacy-preserving computations, and verifiable computing. |
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