[Resource Topic] 2015/694: On the Complexity of Additively Homomorphic UC Commitments

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Title:
On the Complexity of Additively Homomorphic UC Commitments

Authors: Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen, Roberto Trifiletti

Abstract:

We present a new constant round additively homomorphic commitment scheme with (amortized) computational and communication complexity linear in the size of the string committed to. Our scheme is based on the non-homomorphic commitment scheme of Cascudo \emph{et al.} presented at PKC 2015. However, we manage to add the additive homo- morphic property, while at the same time reducing the constants. In fact, when opening a large enough batch of commitments we achieve an amor- tized communication complexity converging to the length of the message committed to, i.e., we achieve close to rate 1 as the commitment protocol by Garay \emph{et al.} from Eurocrypt 2014. A main technical improvement over the scheme mentioned above, and other schemes based on using error correcting codes for UC commitment, we develop a new technique which allows to based the extraction property on erasure decoding as opposed to error correction. This allows to use a code with significantly smaller minimal distance and allows to use codes without efficient decoding. Our scheme only relies on standard assumptions. Specifically we require a pseudorandom number generator, a linear error correcting code and an ideal oblivious transfer functionality. Based on this we prove our scheme secure in the Universal Composability (UC) framework against a static and malicious adversary corrupting any number of parties. On a practical note, our scheme improves significantly on the non- homomorphic scheme of Cascudo \emph{et al.} Based on their observations in regards to efficiency of using linear error correcting codes for commit- ments we conjecture that our commitment scheme might in practice be more efficient than all existing constructions of UC commitment, even non-homomorphic constructions and even constructions in the random oracle model. In particular, the amortized price of computing one of our commitments is less than that of evaluating a hash function once.

ePrint: https://eprint.iacr.org/2015/694

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