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  • 标题:Benchmarking of Symmetric Cryptographic Algorithms on a Deeply Embedded System
  • 本地全文:下载
  • 作者:Heiko Bühler ; Andreas Walz ; Axel Sikora
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:4
  • 页码:266-271
  • DOI:10.1016/j.ifacol.2022.06.044
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we study the runtime performance of symmetric cryptographic algorithms on an embedded ARM Cortex-M4 platform. Symmetric cryptographic algorithms can serve to protect the integrity and optionally, if supported by the algorithm, the confidentiality of data. A broad range of well-established algorithms exists, where the different algorithms typically have different properties and come with different computational complexity. On deeply embedded systems, the overhead imposed by cryptographic operations may be significant. We execute the algorithms AES-GCM, ChaCha20-Poly1305, HMAC-SHA256, KMAC, and SipHash on an STM32 embedded microcontroller and benchmark the execution times of the algorithms as a function of the input lengths.
  • 关键词:Keywordscybersecuritybenchmarkingcryptography
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