@inproceedings{b74707e0168b48e2b3dd90575bb6af55,
title = "Embedded Encryption and Compression Solution for Resource-Constrained ARM Microcontrollers",
abstract = "This paper investigates compression and encryption algorithms for use in resource-constrained systems. The investigation is structured around a suitable solution for lightweight, fixed-point, resource-constrained microcontrollers, specifically the STM32F0. During the early development stages, simulation testing using sample data allowed for system validation. Hardware-based testing using live and sample data allowed optimisation and validation of the system for use on the STM32F0. The developed system uses RSA encryption and LZSS compression as a solution to data encryption and compression on resource-constrained microcontrollers. The project's code is available on GitHub.",
keywords = "ARM microcontrollers, compression, embedded systems, encryption, STM32F0",
author = "Shameera Cassim and Tristyn Ferreiro and Mishra, \{Amit Kumar\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 33rd International Conference Radioelektronika, RADIOELEKTRONIKA 2023 ; Conference date: 19-04-2023 Through 20-04-2023",
year = "2023",
month = apr,
day = "27",
doi = "10.1109/RADIOELEKTRONIKA57919.2023.10109050",
language = "English",
series = "2023 33rd International Conference Radioelektronika, RADIOELEKTRONIKA 2023",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2023 33rd International Conference Radioelektronika, RADIOELEKTRONIKA 2023",
address = "United States of America",
}