High throughput and area-efficient FPGA implementation of AES for high-traffic applications

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IET Computers and Digital Techniques Pub Date : 2020-09-10 DOI:10.1049/iet-cdt.2019.0179
Karim Shahbazi, Seok-Bum Ko
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引用次数: 21

Abstract

This study presents a high throughput field-programmable gate array (FPGA) implementation of advanced encryption standard-128 (AES-128). AES is a well-known symmetric key encryption algorithm with high security against different attacks that are widely used in different applications. The main goal of this study is to design a high throughput and FPGA efficiency (FPGA-Eff) cryptosystem for high-traffic applications. To achieve high throughput, loop-unrolling, inner and outer pipelining techniques are employed. In AES, substitution bytes (Sub-Bytes) is one of the costly functions that occupy a large number of resources and has a large delay. To reduce the area of Sub-Bytes, new-affine-transformation, which is the combination of inverse isomorphic and affine transformation, is proposed and employed. Besides that, AES has been modified according to the proposed architecture. For the first nine rounds, Shift-Rows and Sub-Bytes have been exchanged, and Shift-Rows is merged with Add-Round-Key. To make an equal latency between stages, Mix-Columns is divided into two different stages. AES is implemented in counter mode on Xilinx Virtex-5 using VHDL. The proposed implementation achieves a throughput of 79.7 Gbps, FPGA-Eff of 13.3 Mbps/slice, and frequency of 622.4 MHz. Compared to the state-of-the-art work, the proposed design has improved data throughput by 8.02% and FPGA-Eff by 22.63%.

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用于高流量应用的AES的高吞吐量和区域高效FPGA实现
本研究提出了一种高通量现场可编程门阵列(FPGA)实现的高级加密标准-128(AES-128)。AES是一种众所周知的对称密钥加密算法,对不同应用中广泛使用的不同攻击具有很高的安全性。本研究的主要目标是设计一种适用于高流量应用的高吞吐量和FPGA效率(FPGA-Eff)密码系统。为了实现高吞吐量,采用了循环展开、内部和外部流水线技术。在AES中,替换字节(Sub bytes)是一种代价高昂的函数,占用大量资源并具有较大的延迟。为了减少子字节的面积,提出并采用了新的仿射变换,它是逆同构和仿射变换的结合。除此之外,还根据所提出的体系结构对AES进行了修改。在前九轮中,移位行和子字节已经交换,移位行与添加循环键合并。为了使阶段之间的延迟相等,Mix-Columns被分为两个不同的阶段。AES是在Xilinx Virtex-5上使用VHDL以计数器模式实现的。所提出的实现实现了79.7 Gbps的吞吐量、13.3 Mbps/片的FPGA效率和622.4 MHz的频率。与最先进的工作相比,所提出的设计将数据吞吐量提高了8.02%,FPGA效率提高了22.63%。
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来源期刊
IET Computers and Digital Techniques
IET Computers and Digital Techniques 工程技术-计算机:理论方法
CiteScore
3.50
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: IET Computers & Digital Techniques publishes technical papers describing recent research and development work in all aspects of digital system-on-chip design and test of electronic and embedded systems, including the development of design automation tools (methodologies, algorithms and architectures). Papers based on the problems associated with the scaling down of CMOS technology are particularly welcome. It is aimed at researchers, engineers and educators in the fields of computer and digital systems design and test. The key subject areas of interest are: Design Methods and Tools: CAD/EDA tools, hardware description languages, high-level and architectural synthesis, hardware/software co-design, platform-based design, 3D stacking and circuit design, system on-chip architectures and IP cores, embedded systems, logic synthesis, low-power design and power optimisation. Simulation, Test and Validation: electrical and timing simulation, simulation based verification, hardware/software co-simulation and validation, mixed-domain technology modelling and simulation, post-silicon validation, power analysis and estimation, interconnect modelling and signal integrity analysis, hardware trust and security, design-for-testability, embedded core testing, system-on-chip testing, on-line testing, automatic test generation and delay testing, low-power testing, reliability, fault modelling and fault tolerance. Processor and System Architectures: many-core systems, general-purpose and application specific processors, computational arithmetic for DSP applications, arithmetic and logic units, cache memories, memory management, co-processors and accelerators, systems and networks on chip, embedded cores, platforms, multiprocessors, distributed systems, communication protocols and low-power issues. Configurable Computing: embedded cores, FPGAs, rapid prototyping, adaptive computing, evolvable and statically and dynamically reconfigurable and reprogrammable systems, reconfigurable hardware. Design for variability, power and aging: design methods for variability, power and aging aware design, memories, FPGAs, IP components, 3D stacking, energy harvesting. Case Studies: emerging applications, applications in industrial designs, and design frameworks.
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