FPGA Implementation of Compact Hardware Accelerators for Ring-Binary-LWE-based Post-quantum Cryptography

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Reconfigurable Technology and Systems Pub Date : 2023-06-21 DOI:https://dl.acm.org/doi/10.1145/3569457
Pengzhou He, Tianyou Bao, Jiafeng Xie, Moeness Amin
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Abstract

Post-quantum cryptography (PQC) has recently drawn substantial attention from various communities owing to the proven vulnerability of existing public-key cryptosystems against the attacks launched from well-established quantum computers. The Ring-Binary-Learning-with-Errors (RBLWE), a variant of Ring-LWE, has been proposed to build PQC for lightweight applications. As more Field-Programmable Gate Array (FPGA) devices are being deployed in lightweight applications like Internet-of-Things (IoT) devices, it would be interesting if the RBLWE-based PQC can be implemented on the FPGA with ultra-low complexity and flexible processing. However, thus far, limited information is available for such implementations. In this article, we propose novel RBLWE-based PQC accelerators on the FPGA with ultra-low implementation complexity and flexible timing. We first present the process of deriving the key operation of the RBLWE-based scheme into the proposed algorithmic operation. The corresponding hardware accelerator is then efficiently mapped from the proposed algorithm with the help of algorithm-to-architecture implementation techniques and extended to obtain higher-throughput designs. The final complexity analysis and implementation results (on a variety of FPGAs) show that the proposed accelerators have significantly smaller area-time complexities than the state-of-the-art designs. Overall, the proposed accelerators feature low implementation complexity and flexible processing, making them desirable for emerging FPGA-based lightweight applications.

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基于环二进制lwe的后量子密码紧凑硬件加速器的FPGA实现
后量子密码学(PQC)最近引起了各个社区的广泛关注,因为现有的公钥密码系统被证明容易受到来自成熟量子计算机的攻击。ring - binary - learning - witherrors (RBLWE)是Ring-LWE的一种变体,被提出用于构建轻量级应用程序的PQC。随着越来越多的现场可编程门阵列(FPGA)设备被部署在物联网(IoT)设备等轻量级应用中,如果基于rblwe的PQC能够以超低的复杂性和灵活的处理方式在FPGA上实现,那将是一件有趣的事情。然而,到目前为止,可用于此类实现的信息有限。在本文中,我们在FPGA上提出了一种基于rblwe的PQC加速器,具有超低的实现复杂度和灵活的时序。我们首先介绍了将基于rblwe的方案的关键操作导出到所提出的算法操作的过程。然后借助算法到体系结构的实现技术,从所提出的算法有效地映射相应的硬件加速器,并扩展以获得更高吞吐量的设计。最终的复杂性分析和实现结果(在各种fpga上)表明,所提出的加速器比最先进的设计具有明显更小的面积-时间复杂性。总体而言,所提出的加速器具有低实现复杂性和灵活处理的特点,使其成为新兴的基于fpga的轻量级应用的理想选择。
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来源期刊
ACM Transactions on Reconfigurable Technology and Systems
ACM Transactions on Reconfigurable Technology and Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
CiteScore
4.90
自引率
8.70%
发文量
79
审稿时长
>12 weeks
期刊介绍: TRETS is the top journal focusing on research in, on, and with reconfigurable systems and on their underlying technology. The scope, rationale, and coverage by other journals are often limited to particular aspects of reconfigurable technology or reconfigurable systems. TRETS is a journal that covers reconfigurability in its own right. Topics that would be appropriate for TRETS would include all levels of reconfigurable system abstractions and all aspects of reconfigurable technology including platforms, programming environments and application successes that support these systems for computing or other applications. -The board and systems architectures of a reconfigurable platform. -Programming environments of reconfigurable systems, especially those designed for use with reconfigurable systems that will lead to increased programmer productivity. -Languages and compilers for reconfigurable systems. -Logic synthesis and related tools, as they relate to reconfigurable systems. -Applications on which success can be demonstrated. The underlying technology from which reconfigurable systems are developed. (Currently this technology is that of FPGAs, but research on the nature and use of follow-on technologies is appropriate for TRETS.) In considering whether a paper is suitable for TRETS, the foremost question should be whether reconfigurability has been essential to success. Topics such as architecture, programming languages, compilers, and environments, logic synthesis, and high performance applications are all suitable if the context is appropriate. For example, an architecture for an embedded application that happens to use FPGAs is not necessarily suitable for TRETS, but an architecture using FPGAs for which the reconfigurability of the FPGAs is an inherent part of the specifications (perhaps due to a need for re-use on multiple applications) would be appropriate for TRETS.
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