CNC: A lightweight architecture for Binary Ring-LWE based PQC

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Shaik Ahmadunnisa, Sudha Ellison Mathe
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引用次数: 0

Abstract

In lattice-based cryptography, Ring Learning with Errors (RLWE) is a computationally hard cryptographic problem, comprising three basic mechanisms i.e., key generation, encryption, and decryption. Binary Ring Learning with Error (BRLWE), a new variant of RLWE has been proposed recently to reduce the key size and computational complexity compared to previous RLWE-based schemes. Based on this BRLWE scheme, efficient hardware architectures have been obtained in recent works for lightweight applications. The key operation involved in this scheme is AB+C , where A and C are integer polynomials and B is a binary polynomial. This paper proposes an efficient hardware architecture for BRLWE-based scheme targeted for lightweight applications. The architecture computes the arithmetic operation AB+C, which includes polynomial multiplication and addition over the polynomial ring Zq/(xn+1). The proposed architecture is applied in two conditions, fixed and variable values of q. Experimental results show the architecture proposed has 50% less Area-Delay Product (ADP) and 20% less Power-Delay Product (PDP) compared to the recently reported work for n=256.

Abstract Image

CNC:基于二进制环-LWE 的 PQC 轻量级架构
在基于网格的密码学中,有误环学习(RLWE)是一个计算难度很大的密码学问题,包括三个基本机制,即密钥生成、加密和解密。二进制环形有误学习(BRLWE)是 RLWE 的一种新变体,与之前基于 RLWE 的方案相比,它可以减少密钥大小,降低计算复杂度。基于这种 BRLWE 方案,最近的研究为轻量级应用提供了高效的硬件架构。该方案涉及的密钥运算为 AB+C ,其中 A 和 C 为整数多项式,B 为二元多项式。本文针对轻量级应用,为基于 BRLWE 的方案提出了一种高效的硬件架构。该架构可计算算术运算 AB+C,包括多项式环 Zq/(xn+1)上的多项式乘法和加法。实验结果表明,与最近报道的 n=256 的工作相比,该架构的面积延迟积(ADP)减少了 50%,功率延迟积(PDP)减少了 20%。
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来源期刊
Microprocessors and Microsystems
Microprocessors and Microsystems 工程技术-工程:电子与电气
CiteScore
6.90
自引率
3.80%
发文量
204
审稿时长
172 days
期刊介绍: Microprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. This includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processor systems on a chip (MPSoC), as well as, their memory and communication methods and structures, such as network-on-chip (NoC). Design automation of such systems including methodologies, techniques, flows and tools for their design, as well as, novel designs of hardware components fall within the scope of this journal. Novel cyber-physical applications that use embedded systems are also central in this journal. While software is not in the main focus of this journal, methods of hardware/software co-design, as well as, application restructuring and mapping to embedded hardware platforms, that consider interplay between software and hardware components with emphasis on hardware, are also in the journal scope.
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