Groth, J (2009) Linear Algebra with Sub-linear Zero-Knowledge Arguments. In: Halevi, S, (ed.) ADVANCES IN CRYPTOLOGY - CRYPTO 2009. (pp. 192 - 208). SPRINGER-VERLAG BERLIN
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We suggest practical sub-linear size zero-knowledge arguments for statements involving linear algebra. Given commitments to matrices over a finite field, we give a sub-linear size zero-knowledge argument that one committed matrix is the product of two other committed matrices. We also offer a sub-linear size zero-knowledge argument for a committed matrix being equal to the Hadamard product of two other committed matrices. Armed with these tools we can give many other sub-linear size zero-knowledge arguments, for instance for a committed matrix being upper or lower triangular, a committed matrix being the inverse of another committed matrix, or a committed matrix being a permutation of another committed matrix.A special case of what can be proved using our techniques is the satisfiability of an arithmetic circuit with N gates. Our arithmetic circuit zero-knowledge argument has a communication complexity of O(root N) group elements. We give both a constant round variant and an O(log N) round variant of our zero-knowledge argument; the latter has a computation complexity of O(N/log N) exponentiations for the prover and O(N) multiplications for the verifier making it efficient for the prover and very efficient for the verifier. In the case of a binary circuit consisting of NAND-gates we give a zero-knowledge argument of circuit satisfiability with a communication complexity of O(root N) group elements and a computation complexity of O(N) multiplications for both the prover and the verifier.
|Title:||Linear Algebra with Sub-linear Zero-Knowledge Arguments|
|Event:||29th Annual International Cryptology Conference|
|Location:||Santa Barbara, CA|
|Dates:||2009-08-16 - 2009-08-20|
|Keywords:||Sub-linear size zero-knowledge arguments, public-coin special honest verifier zero-knowledge, Pedersen commitments, linear algebra, circuit satisfiability, SHUFFLE|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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