Design of high-throughput SHA-256 hash function based on FPGA

Shamsiah Binti Suhaili; Takahiro Watanabe

doi:10.1109/ICEEI.2017.8312449

Design of high-throughput SHA-256 hash function based on FPGA

Shamsiah Binti Suhaili, Takahiro Watanabe

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Nowadays, security has become an important topic of interest to researchers. Different types of cryptography algorithms have been developed in order to improve the performance of these information-protecting procedures. A hash function is a cryptography algorithm without a key such as MD5, RIPEMD160, and SHA-1. In this paper, a new SHA family is developed and designed in order to fulfil the cryptographic algorithm performance requirement. Thus, SHA-256 design and SHA-256 unfolding design based on reconfigurable hardware have been successfully completed using Verilog code. These designs were simulated and verified using ModelSim. The results showed that the proposed SHA-256 unfolding design gave better performance on Arria II GX in terms of throughput. The high throughput of SHA-256 unfolding design was obtained at a data transfer speed of 2429.52 Mbps.

Original language	English
Title of host publication	Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
Subtitle of host publication	Sustainable Society Through Digital Innovation, ICEEI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Volume	2017-November
ISBN (Electronic)	9781538604755
DOIs	https://doi.org/10.1109/ICEEI.2017.8312449
Publication status	Published - 2018 Mar 9
Event	6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia Duration: 2017 Nov 25 → 2017 Nov 27

Other

Other	6th International Conference on Electrical Engineering and Informatics, ICEEI 2017
Country	Malaysia
City	Langkawi
Period	17/11/25 → 17/11/27

Keywords

Cryptography algorithm
FPGA
SHA256 Hash Function
Unfolding transformation

ASJC Scopus subject areas

Artificial Intelligence
Control and Optimization
Computer Networks and Communications
Computer Vision and Pattern Recognition
Information Systems
Software
Electrical and Electronic Engineering
Health Informatics

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Binti Suhaili, S., & Watanabe, T. (2018). Design of high-throughput SHA-256 hash function based on FPGA. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2017.8312449

Design of high-throughput SHA-256 hash function based on FPGA. / Binti Suhaili, Shamsiah; Watanabe, Takahiro.

Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Binti Suhaili, S & Watanabe, T 2018, Design of high-throughput SHA-256 hash function based on FPGA. in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017, Langkawi, Malaysia, 17/11/25. https://doi.org/10.1109/ICEEI.2017.8312449

Binti Suhaili S, Watanabe T. Design of high-throughput SHA-256 hash function based on FPGA. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/ICEEI.2017.8312449

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