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Abstract
NIST issued a new call in 2023 to diversify the portfolio of quantum-resistant digital signature schemes since the current portfolio relies on lattice problems. The MAYO scheme, which builds on the Unbalanced Oil and Vinegar (UOV) problem, is a promising candidate for this new call. MAYO introduces emulsifier maps and a novel `whipping' technique to significantly reduce the key sizes compared to previous UOV schemes.
This paper provides a comprehensive analysis of the implementation aspects of MAYO and proposes several optimization techniques that we use to implement a high-speed hardware accelerator. The first optimization technique is the partial unrolling of the emulsification process to increase parallelization. The second proposed optimization is a novel memory structure enabling the parallelization of significant bottlenecks in the MAYO scheme. In addition to this, we present a flexible transposing technique for the data format used in MAYO that can be expanded to other UOV-based schemes. We use these techniques to design the first high-speed ASIC and FPGA accelerator that supports all operations of the MAYO scheme for different NIST security levels.
Compared with state-of-the-art, like HaMAYO [23] and UOV [7], our FPGA design shows a performance benefit of up to three orders of magnitude in both latency and area-time-product. Furthermore, we lower the BRAM consumption by up to 2.8x compared to these FPGA implementations. Compared to high-end CPU implementations, our ASIC design allows between $2.81\times$ and 60.14x higher throughputs. This increases the number of signing operations per second from 483 to 13424, thereby fostering performant deployment of the MAYO scheme in time-critical applications.
This paper provides a comprehensive analysis of the implementation aspects of MAYO and proposes several optimization techniques that we use to implement a high-speed hardware accelerator. The first optimization technique is the partial unrolling of the emulsification process to increase parallelization. The second proposed optimization is a novel memory structure enabling the parallelization of significant bottlenecks in the MAYO scheme. In addition to this, we present a flexible transposing technique for the data format used in MAYO that can be expanded to other UOV-based schemes. We use these techniques to design the first high-speed ASIC and FPGA accelerator that supports all operations of the MAYO scheme for different NIST security levels.
Compared with state-of-the-art, like HaMAYO [23] and UOV [7], our FPGA design shows a performance benefit of up to three orders of magnitude in both latency and area-time-product. Furthermore, we lower the BRAM consumption by up to 2.8x compared to these FPGA implementations. Compared to high-end CPU implementations, our ASIC design allows between $2.81\times$ and 60.14x higher throughputs. This increases the number of signing operations per second from 483 to 13424, thereby fostering performant deployment of the MAYO scheme in time-critical applications.
Originalsprache | englisch |
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Titel | CCS 2024 - Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security |
Herausgeber (Verlag) | Association of Computing Machinery |
Seiten | 3421-3435 |
Seitenumfang | 16 |
ISBN (elektronisch) | 979-840070636-3 |
DOIs | |
Publikationsstatus | Veröffentlicht - 9 Dez. 2024 |
Veranstaltung | ACM Conference on Computer and Communications Security, CCS 2024 - Salt Lake Marriott Downtown at City Creek, Salt Lake City, USA / Vereinigte Staaten Dauer: 14 Okt. 2024 → 18 Okt. 2024 |
Konferenz
Konferenz | ACM Conference on Computer and Communications Security, CCS 2024 |
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Kurztitel | ACM CCS |
Land/Gebiet | USA / Vereinigte Staaten |
Ort | Salt Lake City |
Zeitraum | 14/10/24 → 18/10/24 |
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Aktivitäten
- 1 Vortrag bei Konferenz oder Fachtagung
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Whipping the Multivariate-based MAYO Signature Scheme using Hardware Platforms
Hirner, F. (Redner/in)
17 Okt. 2024Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science