Controllable privacy preserving blockchain: Fiatchain: Distributed privacy preserving cryptocurrency with law enforcement capabilities

Rami Puzis, Guy Barshap, Polina Zilberman, Oded Leiba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Central banks are reluctant to accept cryptocurrency, because current implementations of decentralized privacy preserving transactions make it impossible to apply know your customer (KYC) and anti-money laundering (AML) procedures. In this paper, we augment a distributed privacy preserving cyptocurrency known as Monero with KYC and AML procedures. The proposed solution relies on secretly sharing of the clients’ private view keys and private transaction keys among a large number of permissioned signers (PSs). The resulting cryptocurrency maintains the notion of distributed trust while allowing a group of PSs to cooperate, collectively applying KYC and AML procedures.

Original languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings
EditorsShlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung
PublisherSpringer Verlag
Pages178-197
Number of pages20
ISBN (Print)9783030209506
DOIs
StatePublished - 1 Jan 2019
Event3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 - Beer Sheva, Israel
Duration: 27 Jun 201928 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11527 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019
Country/TerritoryIsrael
CityBeer Sheva
Period27/06/1928/06/19

Keywords

  • Anonymity
  • Anti-money laundering
  • Blockchain
  • Cryptocurrency
  • Privacy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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