Journal
PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)
Volume -, Issue -, Pages 862-879Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3243734.3243850
Keywords
Large-scale actively-secure constant-round MPC
Funding
- NSF [1464113]
- NIH [1U01EB023685-01]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1464113] Funding Source: National Science Foundation
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Existing actively-secure MPC protocols require either linear rounds or linear space. Due to this fundamental space-round dilemma, no existing MPC protocols is able to run large-scale computations without significantly sacrificing performance. To mitigate this issue, we developed nanoPI, which is practically efficient in terms of both time and space. Our protocol is based on WRK [44, 45] but introduces interesting and necessary modifications to address several important programmatic and cryptographic challenges. A technique that may be of independent interest (in transforming other computation-oriented cryptographic protocols) is a staged execution model, which we formally define and realize using a combination of lightweight static and dynamic program instrumentation. We demonstrate the unprecedented scalability and performance of nanoPI by building and running a suit of benchmark applications, including an actively-secure four-party logistical regression (involving 4.7 billion ANDs and 8.9 billion XORs) which finished in less than 28 hours on four small-memory machines. Our integrated framework nanoPI is open-sourced at https: // github. com/ nanoPIMPC/ nanoPI.
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