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An Implementation and Experimental Evaluation of Hardware Accelerated Ciphers in All-Programmable SoCs

Published: 13 April 2017 Publication History

Abstract

The protection of confidential information has become very important with the increase of data sharing and storage on public domains. Data confidentiality is accomplished through the use of ciphers that encrypt and decrypt the data to impede unauthorized access. Emerging heterogeneous platforms provide an ideal environment to use hardware acceleration to improve application performance. In this paper, we explore the performance benefits of an AES hardware accelerator versus the software implementation for multiple cipher modes on the Zynq 7000 All-Programmable System-on-a-Chip (SoC). The accelerator is implemented on the FPGA fabric of the SoC and utilizes DMA for interfacing to the CPU. File encryption and decryption of varying file sizes are used as the workload, with execution time and throughput as the metrics for comparing the performance of the hardware and software implementations. The performance evaluations show that the accelerated AES operations achieve a speedup of 7 times relative to its software implementation and throughput upwards of 350 MB/s for the counter cipher mode, and modest improvements for other cipher modes.

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Cited By

View all
  • (2020)A Lightweight AEAD encryption core to secure IoT applications2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)10.1109/APCCAS50809.2020.9301683(35-38)Online publication date: 8-Dec-2020
  • (2018)AEAS - Towards High Energy-efficiency Design for OpenSSL Encryption Acceleration through HW/SW Co-designProceedings of the 2018 Great Lakes Symposium on VLSI10.1145/3194554.3194584(171-176)Online publication date: 30-May-2018
  • (2018)ACA-SDS: Adaptive Crypto Acceleration for Secure Data Storage in Big DataIEEE Access10.1109/ACCESS.2018.28624256(44494-44505)Online publication date: 2018

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Published In

cover image ACM Conferences
ACMSE '17: Proceedings of the 2017 ACM Southeast Conference
April 2017
275 pages
ISBN:9781450350242
DOI:10.1145/3077286
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2017

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Author Tags

  1. AES
  2. FPGAs
  3. Hardware acceleration
  4. IP cores
  5. OpenSSL

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  • Research-article
  • Research
  • Refereed limited

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ACM SE '17
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ACM SE '17: SouthEast Conference
April 13 - 15, 2017
GA, Kennesaw, USA

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ACMSE '17 Paper Acceptance Rate 21 of 34 submissions, 62%;
Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

View all
  • (2020)A Lightweight AEAD encryption core to secure IoT applications2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)10.1109/APCCAS50809.2020.9301683(35-38)Online publication date: 8-Dec-2020
  • (2018)AEAS - Towards High Energy-efficiency Design for OpenSSL Encryption Acceleration through HW/SW Co-designProceedings of the 2018 Great Lakes Symposium on VLSI10.1145/3194554.3194584(171-176)Online publication date: 30-May-2018
  • (2018)ACA-SDS: Adaptive Crypto Acceleration for Secure Data Storage in Big DataIEEE Access10.1109/ACCESS.2018.28624256(44494-44505)Online publication date: 2018

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