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| zk-SNARK× | 格子暗号 (Lattice-Based Cryptography)× | |
|---|---|---|
| 分野 | 暗号学 | 暗号学 |
| 系統 | Machine learning | Machine learning |
| 提唱年≠ | 2014 | 1996 |
| 提唱者≠ | Eli Ben-Sasson | Miklós Ajtai |
| 種類≠ | zero-knowledge argument of knowledge | public-key cryptosystem based on lattice hardness |
| 原典≠ | 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 ↗ | Ajtai, M. (1996). Generating hard instances of the short basis problem. In Proceedings of the 28th Annual ACM Symposium on Theory of Computing, pp. 99-108. link ↗ |
| 別名≠ | zk-SNARK, zero-knowledge proof, SNARK | lattice cryptography, post-quantum lattice cryptography |
| 関連 | 3 | 3 |
| 概要≠ | 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. | Lattice-based cryptography is a class of cryptosystems whose security is derived from the computational hardness of lattice problems, particularly the shortest vector problem (SVP) and learning with errors (LWE). First proposed by Miklós Ajtai in 1996, lattice-based approaches have gained prominence as the leading candidates for post-quantum cryptography. Unlike RSA and ECC, which are vulnerable to quantum computers, lattice problems are believed to remain hard even against quantum algorithms. |
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