Visible to the public Improvements to Secure Computation with Penalties

TitleImprovements to Secure Computation with Penalties
Publication TypeConference Paper
Year of Publication2016
AuthorsKumaresan, Ranjit, Vaikuntanathan, Vinod, Vasudevan, Prashant Nalini
Conference NameProceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Date PublishedOctober 2016
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4139-4
Keywordsbitcoin, bitcoin security, fairness, Human Behavior, pubcrawl, ransomware, Resiliency, Scalability, secure computation, security
Abstract

Motivated by the impossibility of achieving fairness in secure computation [Cleve, STOC 1986], recent works study a model of fairness in which an adversarial party that aborts on receiving output is forced to pay a mutually predefined monetary penalty to every other party that did not receive the output. These works show how to design protocols for secure computation with penalties that tolerate an arbitrary number of corruptions. In this work, we improve the efficiency of protocols for secure computation with penalties in a hybrid model where parties have access to the "claim-or-refund" transaction functionality. Our first improvement is for the ladder protocol of Bentov and Kumaresan (Crypto 2014) where we improve the dependence of the script complexity of the protocol (which corresponds to miner verification load and also space on the blockchain) on the number of parties from quadratic to linear (and in particular, is completely independent of the underlying function). Our second improvement is for the see-saw protocol of Kumaresan et al. (CCS 2015) where we reduce the total number of claim-or-refund transactions and also the script complexity from quadratic to linear in the number of parties.

URLhttps://dl.acm.org/doi/10.1145/2976749.2978421
DOI10.1145/2976749.2978421
Citation Keykumaresan_improvements_2016