{"title":"CNC:基于二进制环-LWE 的 PQC 轻量级架构","authors":"Shaik Ahmadunnisa, Sudha Ellison Mathe","doi":"10.1016/j.micpro.2024.105044","DOIUrl":null,"url":null,"abstract":"<div><p>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 <span><math><mrow><mi>A</mi><mi>B</mi><mo>+</mo><mi>C</mi></mrow></math></span> , where <span><math><mi>A</mi></math></span> and <span><math><mi>C</mi></math></span> are integer polynomials and <span><math><mi>B</mi></math></span> 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 <span><math><mrow><mi>A</mi><mi>B</mi><mo>+</mo><mi>C</mi></mrow></math></span>, which includes polynomial multiplication and addition over the polynomial ring <span><math><mrow><msub><mrow><mi>Z</mi></mrow><mrow><mi>q</mi></mrow></msub><mo>/</mo><mrow><mo>(</mo><msup><mrow><mi>x</mi></mrow><mrow><mi>n</mi></mrow></msup><mo>+</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. The proposed architecture is applied in two conditions, fixed and variable values of <span><math><mi>q</mi></math></span>. 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 <span><math><mrow><mi>n</mi><mo>=</mo><mn>256</mn></mrow></math></span>.</p></div>","PeriodicalId":49815,"journal":{"name":"Microprocessors and Microsystems","volume":"106 ","pages":"Article 105044"},"PeriodicalIF":1.9000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CNC: A lightweight architecture for Binary Ring-LWE based PQC\",\"authors\":\"Shaik Ahmadunnisa, Sudha Ellison Mathe\",\"doi\":\"10.1016/j.micpro.2024.105044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 <span><math><mrow><mi>A</mi><mi>B</mi><mo>+</mo><mi>C</mi></mrow></math></span> , where <span><math><mi>A</mi></math></span> and <span><math><mi>C</mi></math></span> are integer polynomials and <span><math><mi>B</mi></math></span> 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 <span><math><mrow><mi>A</mi><mi>B</mi><mo>+</mo><mi>C</mi></mrow></math></span>, which includes polynomial multiplication and addition over the polynomial ring <span><math><mrow><msub><mrow><mi>Z</mi></mrow><mrow><mi>q</mi></mrow></msub><mo>/</mo><mrow><mo>(</mo><msup><mrow><mi>x</mi></mrow><mrow><mi>n</mi></mrow></msup><mo>+</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. The proposed architecture is applied in two conditions, fixed and variable values of <span><math><mi>q</mi></math></span>. 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 <span><math><mrow><mi>n</mi><mo>=</mo><mn>256</mn></mrow></math></span>.</p></div>\",\"PeriodicalId\":49815,\"journal\":{\"name\":\"Microprocessors and Microsystems\",\"volume\":\"106 \",\"pages\":\"Article 105044\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microprocessors and Microsystems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0141933124000395\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessors and Microsystems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141933124000395","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
CNC: A lightweight architecture for Binary Ring-LWE based PQC
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 , where and are integer polynomials and 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 , which includes polynomial multiplication and addition over the polynomial ring . The proposed architecture is applied in two conditions, fixed and variable values of . 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 .
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.