ZKP6.2 Discrete-log-based Polynomial Commitments (KZG10)

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ZKP学习笔记

ZK-Learning MOOC课程笔记

Lecture 6: Discrete-log-based Polynomial Commitments (Yupeng Zhang)

6.2 KZG polynomial commitment and its variants

• KZG: [Kate-Zaverucha-Goldberg '2010]
• Procedure
  

• Soundness: q-Strong Bilinear Diffie-Hellman (q-SBDH) assumption
  

  • Formal Security Proof
    

    • The key idea: decompose the fack value $v\ast$ into a correct value $f(u)$ and a difference $\delta$

• Knowledge soundness and KoE assumption
  

  • KZG with knowledge soundness: the commitment size is doubled
  • Solution: Generic group model (GGM) [Shoup’97, Maurer’05]
    • GGM can replace the KoE assumption and reduce the commitment size in KZG.

• Properties of the KZG poly-commit
  

• Ceremony: A distributed generation of gp s.t. No one can reconstruct the trapdoor if at least one of the participants is honest and discards their secrets
  

• Variants of KZG polynomial commitment

  • Multivariate poly-commit [Papamanthou-Shi-Tamassia’13]
    

  • Achieving zero-knowledge [ZGKPP’2018]
    

  • Batch opening

    • single polynomial
      

    • multiple polynomials
      

• Application

  • Plonk [Gabizon-Williamson-Ciobotaru’20]
    • Univariate KZG + Plonk Polynomial IOP
  • vSQL[ZGKPP’17], Libra[XZZPS’19]
    • Multivariate KZG + Sumcheck protocol / GKR protocol

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