@inproceedings{ee2d10fefef0400eac218a01a1ba3ae1,
title = "Controllable privacy preserving blockchain: Fiatchain: Distributed privacy preserving cryptocurrency with law enforcement capabilities",
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{\textquoteright} 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.",
keywords = "Anonymity, Anti-money laundering, Blockchain, Cryptocurrency, Privacy",
author = "Rami Puzis and Guy Barshap and Polina Zilberman and Oded Leiba",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 ; Conference date: 27-06-2019 Through 28-06-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-20951-3_16",
language = "English",
isbn = "9783030209506",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "178--197",
editor = "Shlomi Dolev and Danny Hendler and Sachin Lodha and Moti Yung",
booktitle = "Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings",
address = "Germany",
}