Original scientific paper
https://doi.org/10.24138/jcomss-2021-0006
HW/SW Architecture Exploration for an Efficient Implementation of the Secure Hash Algorithm SHA-256
Manel Kammoun
; Digital Research Center of Sfax, Sfax, Tunisia
Manel Elleuchi
; e CES Research Laboratory, National Engineering School of Sfax, Digital Research Center of Sfax, Sfax, Tunisia
Mohamed Abid
; e CES Research Laboratory, National Engineering School of Sfax, Digital Research Center of Sfax, Sfax, Tunisia
Abdulfattah M. Obeid
; National Center for Electronics, Communications and Photonics at KACST
Abstract
Hash functions are used in the majority of security protocol to guarantee the integrity and the authenticity. Among the most important hash functions is the SHA-2 family, which offers higher security and solved the insecurity problems of other popular algorithms as MD5, SHA-1 and SHA-0. However, theses security algorithms are characterized by a certain amount of complex computations and consume a lot of energy. In order to reduce the power consumption as required in the majority of embedded applications, a solution consists to exploit a critical part on accelerator (hardware). In this paper, we propose a hardware/software exploration for the implementation of SHA256 algorithm. For hardware design, two principal design methods are proceeded: Low level synthesis (LLS) and high level synthesis (HLS). The exploration allows the evaluation of performances in term of area, throughput and power consumption. The synthesis results under Zynq 7000 based-FPGA reflect a significant improvement of about 80% and 15% respectively in FPGA resources and throughput for the LLS hardware design compared to HLS solution. For better efficiency, hardware IPs are deduced and implemented within HW/SW system on chip. The experiments are performed using Xilinx ZC 702-based platform. The HW/SW LLS design records a gain of 10% to 25% in term of execution time and 73% in term of power consumption.
Keywords
SHA256; Zynq 7000 based-FPGA; LLS; HLS
Hrčak ID:
259381
URI
Publication date:
30.6.2021.
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