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MPC Joins The Dark Side

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Standard

MPC Joins The Dark Side. / Cartlidge, John; Smart, Nigel; Talibi Alaoui, Younes.

AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery (ACM), 2019. p. 148-159.

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Harvard

Cartlidge, J, Smart, N & Talibi Alaoui, Y 2019, MPC Joins The Dark Side. in AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery (ACM), pp. 148-159, 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019, Auckland, New Zealand, 9/07/19. https://doi.org/10.1145/3321705.3329809

APA

Cartlidge, J., Smart, N., & Talibi Alaoui, Y. (2019). MPC Joins The Dark Side. In AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (pp. 148-159). Association for Computing Machinery (ACM). https://doi.org/10.1145/3321705.3329809

Vancouver

Cartlidge J, Smart N, Talibi Alaoui Y. MPC Joins The Dark Side. In AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery (ACM). 2019. p. 148-159 https://doi.org/10.1145/3321705.3329809

Author

Cartlidge, John ; Smart, Nigel ; Talibi Alaoui, Younes. / MPC Joins The Dark Side. AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery (ACM), 2019. pp. 148-159

Bibtex

@inproceedings{a3ae40268ba649fc951ee2027688c69f,
title = "MPC Joins The Dark Side",
abstract = "We consider the issue of securing dark pools/markets in the financial services sector. These markets currently are executed via trusted third parties, leading to potential fraud being able to be conducted by the market operators. We present a potential solution to this problem by using Multi-Party Computation to enable a trusted third party to be emulated in software. Our experiments show that whilst the standard market clearing mechanism of Continuous Double Auction in lit markets is not currently viable when executed using MPC, a popular mechanism for evaluating dark markets, namely the volume matching methodology, is viable. We present experimental validation of this conclusion by presenting the expected throughputs for such markets in two popular MPC paradigms; namely the two party dishonest majority setting and the honest majority three party setting.",
keywords = "cryptographic protocols, financial markets, Financial Engineering, AUCTION DESIGN",
author = "John Cartlidge and Nigel Smart and {Talibi Alaoui}, Younes",
year = "2019",
month = jul,
day = "12",
doi = "10.1145/3321705.3329809",
language = "English",
isbn = "9781450367523",
pages = "148--159",
booktitle = "AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",
note = "2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019 ; Conference date: 09-07-2019 Through 12-07-2019",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - MPC Joins The Dark Side

AU - Cartlidge, John

AU - Smart, Nigel

AU - Talibi Alaoui, Younes

PY - 2019/7/12

Y1 - 2019/7/12

N2 - We consider the issue of securing dark pools/markets in the financial services sector. These markets currently are executed via trusted third parties, leading to potential fraud being able to be conducted by the market operators. We present a potential solution to this problem by using Multi-Party Computation to enable a trusted third party to be emulated in software. Our experiments show that whilst the standard market clearing mechanism of Continuous Double Auction in lit markets is not currently viable when executed using MPC, a popular mechanism for evaluating dark markets, namely the volume matching methodology, is viable. We present experimental validation of this conclusion by presenting the expected throughputs for such markets in two popular MPC paradigms; namely the two party dishonest majority setting and the honest majority three party setting.

AB - We consider the issue of securing dark pools/markets in the financial services sector. These markets currently are executed via trusted third parties, leading to potential fraud being able to be conducted by the market operators. We present a potential solution to this problem by using Multi-Party Computation to enable a trusted third party to be emulated in software. Our experiments show that whilst the standard market clearing mechanism of Continuous Double Auction in lit markets is not currently viable when executed using MPC, a popular mechanism for evaluating dark markets, namely the volume matching methodology, is viable. We present experimental validation of this conclusion by presenting the expected throughputs for such markets in two popular MPC paradigms; namely the two party dishonest majority setting and the honest majority three party setting.

KW - cryptographic protocols

KW - financial markets

KW - Financial Engineering

KW - AUCTION DESIGN

UR - http://www.scopus.com/inward/record.url?scp=85069968702&partnerID=8YFLogxK

U2 - 10.1145/3321705.3329809

DO - 10.1145/3321705.3329809

M3 - Conference Contribution (Conference Proceeding)

SN - 9781450367523

SP - 148

EP - 159

BT - AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security

PB - Association for Computing Machinery (ACM)

T2 - 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019

Y2 - 9 July 2019 through 12 July 2019

ER -