High-throughput architecture for post-quantum DME cryptosystem

Downloads

Downloads per month over past year

62793

Impacto

Downloads

Downloads per month over past year

Imaña Pascual, José Luis and Luengo Velasco, Ignacio (2020) High-throughput architecture for post-quantum DME cryptosystem. Integration-the VLSI journal, 75 . pp. 114-121. ISSN 0167-9260

[thumbnail of Imaña20postprint+CC(nc-nd)+EMB 01-nov-2022.pdf] PDF
Restringido a Repository staff only hasta 1 November 2022.
Creative Commons Attribution Non-commercial No Derivatives.

527kB

Official URL: http://dx.doi.org/10.1016/j.vlsi.2020.07.002




Abstract

Quantum computers have the potential to solve difficult mathematical problems efficiently, therefore meaning an important threat to Public-Key Cryptography (PKC) if large-scale quantum computers are ever built. The goal of Post-Quantum Cryptography (PQC) is to develop cryptosystems that are secure against both classical and quantum computers. DME is a new proposal of quantum-resistant PKC algorithm that was presented for NIST PQC Standardization competition in order to set the next-generation of cryptography standards. DME is a multivariate public key, signature and Key Encapsulation Mechanism (KEM) system based on a new construction of the central maps, that allows the polynomials of the public key to be of an arbitrary degree. In this paper, a high-throughput pipelined architecture of DME is presented and hardware implementations over Xilinx FPGAs have been performed. Experimental results show that the architecture here presented exhibits the lowest execution time and highest throughput when it is compared with other PQC multivariate implementations given in the literature.


Item Type:Article
Additional Information:

© 2020 Elsevier
This work has been supported by the Spanish MINECO and CM under grants S2018/TCS-4423, TIN 2015-65277-R and RTI2018-093684-B-I00.

Uncontrolled Keywords:Signature; Hardware; Rainbow; Past-quantum cryptography; Multivariate public-key cryptosystem; DME; Finite field; Field-Programmable Gate Array (FPGA); Pipelined; High-throughput
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:62793
Deposited On:30 Oct 2020 15:40
Last Modified:30 Oct 2020 15:40

Origin of downloads

Repository Staff Only: item control page