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.
Original language | English |
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Title of host publication | Asia CCS 2019: Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security |
Publisher | Association for Computing Machinery (ACM) |
Pages | 148-159 |
Number of pages | 12 |
ISBN (Print) | 9781450367523 |
DOIs | |
Publication status | Published - 12 Jul 2019 |
Event | 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019 - Auckland, New Zealand Duration: 9 Jul 2019 → 12 Jul 2019 |
Conference
Conference | 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019 |
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Country/Territory | New Zealand |
City | Auckland |
Period | 9/07/19 → 12/07/19 |
Research Groups and Themes
- Cyber Security
Keywords
- cryptographic protocols
- financial markets
- Financial Engineering
- AUCTION DESIGN
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Professor John Cartlidge
- School of Engineering Mathematics and Technology - Professor of Financial Technology
Person: Academic