Ofelimos: Combinatorial Optimization via Proof-of-Useful-Work: A Provably Secure Blockchain Protocol

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Minimizing the energy cost and carbon footprint of the Bitcoin blockchain and related protocols is one of the most widely identified open questions in the cryptocurrency space. Substituting the proof-of-work (PoW) primitive in Nakamoto’s longest-chain protocol with a proof of useful work (PoUW) has been long theorized as an ideal solution in many respects but, to this day, the concept still lacks a convincingly secure realization. In this work we put forth Ofelimos, a novel PoUW-based blockchain protocol whose consensus mechanism simultaneously realizes a decentralized optimization-problem solver. Our protocol is built around a novel local search algorithm, which we call Doubly Parallel Local Search (DPLS), that is especially crafted to suit implementation as the PoUW component of our blockchain protocol. We provide a thorough security analysis of our protocol and additionally present metrics that reflect the usefulness of the system. DPLS can be used to implement variants of popular local search algorithms such as WalkSAT that are used for real world combinatorial optimization tasks. In this way, our work paves the way for safely using blockchain systems as generic optimization engines for a variety of hard optimization problems for which a publicly verifiable solution is desired.

Cite

CITATION STYLE

APA

Fitzi, M., Kiayias, A., Panagiotakos, G., & Russell, A. (2022). Ofelimos: Combinatorial Optimization via Proof-of-Useful-Work: A Provably Secure Blockchain Protocol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13508 LNCS, pp. 339–369). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15979-4_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free