Paper 2024/1121

Implementation and Performance Evaluation of Elliptic Curve Cryptography over SECP256R1 on STM32 Microprocessor

Onur İşler, TÜRKTRUST
Abstract

The use of Internet of Things (IoT) devices in embedded systems has become increasingly popular with advancing technologies. These devices become vulnerable to cyber attacks as they gain popularity. The cryptographic operations performed for the purpose of protection against cyber attacks are crucial to yield fast results in open networks and not slow down network traffic. Therefore, to enhance communication security, studies have been conducted in the literature on using asymmetric encryption and symmetric encryption together in IoT devices for activities such as key sharing, encryption, decryption, data signing, and verifying signed data. In this study, we first propose a cryptographic system engaging of IoT devices operated from a server. Then we do performance analysis of our proposal. In particular, we evaluate the elliptic curve Diffie-Hellman key exchange and elliptic curve digital signature algorithms on the Secp256r1 elliptic curve and AES symmetric encryption via the Micro uECC library conducted with the 32-bit STM32F410RB Nucleo development board microprocessor running at 48 MHz.

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Preprint.
Keywords
Key ExchangeDigital SignatureElliptic CurveSecp256r1IoT
Contact author(s)
onur isler @ turktrust com tr
History
2024-07-10: approved
2024-07-09: received
See all versions
Short URL
https://ia.cr/2024/1121
License
Creative Commons Attribution-NonCommercial-NoDerivs
CC BY-NC-ND

BibTeX

@misc{cryptoeprint:2024/1121,
      author = {Onur İşler},
      title = {Implementation and Performance Evaluation of Elliptic Curve Cryptography over {SECP256R1} on {STM32} Microprocessor},
      howpublished = {Cryptology ePrint Archive, Paper 2024/1121},
      year = {2024},
      note = {\url{https://eprint.iacr.org/2024/1121}},
      url = {https://eprint.iacr.org/2024/1121}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.