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SHAPOVAL, V. RICCI, S.
Original Title
Lattice-based Threshold Signature Optimization for RAM Constrained Devices
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
The DS2 scheme is a lattice-based (n, n)-threshold signature based on the standardized Dilithium signature. However, deploying DS2, as well as Dilithium, on microcontrollers is a challenge due to the memory limitations of these devices. While the decryption phase can be implemented relatively straightforwardly, the key generation and signing phases require the generation and manipulation of large matrices and vectors, which can quickly exhaust the available memory on the microcontroller. In this paper, we propose an optimization of the DS2 key generation and signing algorithms tailored for microcontrollers. Our approach focuses on minimizing memory consumption by generating large elements, such as the commitment key ck and the random commitment parameter r, on the fly from random and non-random seeds. This approach significantly reduces the overall size of the signature from 143 KB to less than 5 KB, depending on the number of signers involved. We also split the algorithms into two distinct components: a security-critical part and a non-security-critical part. The security-critical part contains operations that require secret knowledge and must be run on the microcontroller itself. Conversely, the non-critical part contains operations that do not require secret knowledge and can be performed on a connected, more powerful central host.
Keywords
Lattice-based cryptography; threshold signature; micro-controllers; optimization
Authors
SHAPOVAL, V.; RICCI, S.
Released
23. 4. 2024
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6231-1
Book
Proceedings I of the 30 th Conference STUDENT EEICT 2024
Edition
1
Pages from
147
Pages to
150
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf
BibTex
@inproceedings{BUT189023, author="Vladyslav {Shapoval} and Sara {Ricci}", title="Lattice-based Threshold Signature Optimization for RAM Constrained Devices", booktitle="Proceedings I of the 30 th Conference STUDENT EEICT 2024", year="2024", series="1", pages="147--150", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-6231-1", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf" }