مقایسهٔ روش‌ها

	رمزنگاری پسا-کوانتومی (کیبر)	zk-SNARK
حوزه	رمزنگاری	رمزنگاری
خانواده	Machine learning	Machine learning
سال پیدایش	2022	2014
پدیدآور	NIST PQC Standardization Project	Eli Ben-Sasson
نوع	post-quantum key encapsulation mechanism	zero-knowledge argument of knowledge
منبع بنیادین	Avanzi, R., Bos, J., Ducas, L., & Kiltz, E. (2022). CRYSTALS-Kyber algorithm specification and supporting documentation. NIST Post-Quantum Cryptography Project.	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.
نام‌های دیگر	PQC, quantum-resistant cryptography, quantum-safe	zk-SNARK, zero-knowledge proof, SNARK
مرتبط	3	3
خلاصه	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.