• DocumentCode
    2956079
  • Title

    Efficient Arguments without Short PCPs

  • Author

    Ishai, Yuval ; Kushilevitz, E. ; Ostrovsky, Rafail

  • Author_Institution
    Technion - Israel Inst. of Technol., Haifa
  • fYear
    2007
  • fDate
    13-16 June 2007
  • Firstpage
    278
  • Lastpage
    291
  • Abstract
    Current constructions of efficient argument systems combine a short (polynomial size) PCP with a cryptographic hashing technique. We suggest an alternative approach for this problem that allows to simplify the underlying PCP machinery using a stronger cryptographic technique. More concretely, we present a direct method for compiling an exponentially long PCP which is succinctly described by a linear oracle function pi : F^n to F into an argument system in which the verifier sends to the prover O(n) encrypted field elements and receives O(1) encryptions in return. This compiler can be based on an arbitrary homomorphic encryption scheme. Applying our general compiler to the exponential size Hadamard code based PCP of Arora et al. (JACM 1998) yields a simple argument system for NP in which the communication from the prover to the verifier only includes a constant number of short encryptions. The main tool we use is a new cryptographic primitive which allows to efficiently commit to a linear function and later open the output of the function on an arbitrary vector. Our efficient implementation of this primitive is independently motivated by cryptographic applications.
  • Keywords
    Hadamard codes; computational complexity; cryptography; theorem proving; Hadamard code; PCP machinery; arbitrary homomorphic encryption scheme; cryptographic hashing technique; cryptographic primitive; cryptographic technique; efficient argument systems; encrypted field elements; general compiler; linear oracle function; Complexity theory; Computational complexity; Computer science; Cryptography; Error correction; Error correction codes; Machinery; Polynomials; Technological innovation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2007. CCC '07. Twenty-Second Annual IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-2780-9
  • Type

    conf

  • DOI
    10.1109/CCC.2007.10
  • Filename
    4262770