Abstract
Inventory matching is a standard mechanism for trading financial stocks by which buyers and sellers can be paired. In the financial world, banks often undertake the task of finding such matches between their clients. The related stocks can be traded without adversely impacting the market price for either client. If matches between clients are found, the bank can offer the trade at advantageous rates. If no match is found, the parties have to buy or sell the stock in the public market, which introduces additional costs. A problem with the process as it is presently conducted is that the involved parties must share their order to buy or sell a particular stock, along with the intended quantity (number of shares), to the bank. Clients worry that if this information were to "leak" somehow, then other market participants would become aware of their intentions and thus cause the price to move adversely against them before their transaction finalizes. We provide a solution that enables clients to match their orders efficiently with reduced market impact while maintaining privacy. In the case where there are no matches, no information is revealed. Our main cryptographic innovation is a two-round secure linear comparison protocol for computing the minimum between two quantities without preprocessing and with malicious security, which can be of independent interest. We report benchmarks of our Prime Match system, which runs in production and is adopted by a large bank in the US - J.P. Morgan. Prime Match is the first secure multiparty computation solution running live in the financial world.
Original language | English |
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Title of host publication | 32nd USENIX Security Symposium, USENIX Security 2023 |
Publisher | USENIX Association |
Pages | 6417-6434 |
Number of pages | 18 |
ISBN (Electronic) | 9781713879497 |
State | Published - 2023 |
Externally published | Yes |
Event | 32nd USENIX Security Symposium, USENIX Security 2023 - Anaheim, United States Duration: 9 Aug 2023 → 11 Aug 2023 |
Publication series
Name | 32nd USENIX Security Symposium, USENIX Security 2023 |
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Volume | 9 |
Conference
Conference | 32nd USENIX Security Symposium, USENIX Security 2023 |
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Country/Territory | United States |
City | Anaheim |
Period | 9/08/23 → 11/08/23 |
Bibliographical note
Publisher Copyright:© 2023 32nd USENIX Security Symposium, USENIX Security 2023. All rights reserved.
Funding
1Department of Computer Science, Bar-Ilan University. Work initiated while at J.P. Morgan AI Research. Editorial work while at Bar-Ilan University, supported by J.P. Morgan Faculty Research Award.