Welcome to the resource topic for 2023/1830
Title:
Vector Commitments with Efficient Updates
Authors: Ertem Nusret Tas, Dan Boneh
Abstract:Dynamic vector commitments that enable local updates of opening proofs have applications ranging from verifiable databases with membership changes to stateless clients on blockchains. In these applications, each user maintains a relevant subset of the committed messages and the corresponding opening proofs with the goal of ensuring a succinct global state. When the messages are updated, users are given some global update information and update their opening proofs to match the new vector commitment. We investigate the relation between the size of the update information and the runtime complexity needed to update an individual opening proof. Existing vector commitment schemes require that either the information size or the runtime scale linearly in the number k of updated state elements. We construct a vector commitment scheme that asymptotically achieves both length and runtime that is sublinear in k, namely k^\nu and k^{1-\nu} for any \nu \in (0,1). We prove an information-theoretic lower bound on the relation between the update information size and runtime complexity that shows the asymptotic optimality of our scheme. For \nu = 1/2, our constructions outperform Verkle commitments by about a factor of 2 in terms of both the update information size and runtime, but makes use of larger public parameters.
ePrint: https://eprint.iacr.org/2023/1830
See all topics related to this paper.
Feel free to post resources that are related to this paper below.
Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.
For more information, see the rules for Resource Topics .