A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers
Protecting sensitive data, such as data collected from sensors, is crucial for ensuring the accurate assessment of sensing devices and preventing unauthorized access. In this regard, Internet of Things (IoT) devices offer a promising alternative for in situ monitoring. However, IoT sensing devices a...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/13/1/3 |
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| author | Jesús Soto-Cruz Erica Ruiz-Ibarra Javier Vázquez-Castillo Adolfo Espinoza-Ruiz Alejandro Castillo-Atoche Joaquin Mass-Sanchez |
| author_facet | Jesús Soto-Cruz Erica Ruiz-Ibarra Javier Vázquez-Castillo Adolfo Espinoza-Ruiz Alejandro Castillo-Atoche Joaquin Mass-Sanchez |
| author_sort | Jesús Soto-Cruz |
| collection | DOAJ |
| description | Protecting sensitive data, such as data collected from sensors, is crucial for ensuring the accurate assessment of sensing devices and preventing unauthorized access. In this regard, Internet of Things (IoT) devices offer a promising alternative for in situ monitoring. However, IoT sensing devices are often constrained by limited processing power and memory. Therefore, lightweight and efficient security algorithms are essential. This review paper assesses the implementation of lightweight cryptographic algorithms for power-constrained microcontrollers in IoT systems using symmetric cryptography. The implemented algorithms analyze the resource constraints of the IoT devices and compare their performance for the efficient implementation of secure monitoring systems. Experimental results demonstrate the performance of various lightweight encryption algorithms on low-power microcontrollers. The analysis reveals the comparative performance of these algorithms in terms of average power and energy consumption, memory usage, latency, and throughput. |
| format | Article |
| id | doaj-art-2984fcca31d64851a5154aaac4f5e9e8 |
| institution | Kabale University |
| issn | 2227-7080 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj-art-2984fcca31d64851a5154aaac4f5e9e82025-01-24T13:50:43ZengMDPI AGTechnologies2227-70802024-12-01131310.3390/technologies13010003A Survey of Efficient Lightweight Cryptography for Power-Constrained MicrocontrollersJesús Soto-Cruz0Erica Ruiz-Ibarra1Javier Vázquez-Castillo2Adolfo Espinoza-Ruiz3Alejandro Castillo-Atoche4Joaquin Mass-Sanchez5Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Sonora, ITSON, Ciudad Obregón 85130, MexicoDepartamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Sonora, ITSON, Ciudad Obregón 85130, MexicoDepartamento de Redes e Informática, Universidad Autónoma del Estado de Quintana Roo (UQRoo), Chetumal 77019, MexicoDepartamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Sonora, ITSON, Ciudad Obregón 85130, MexicoDepartamento de Mecatrónica, Universidad Autónoma de Yucatán, Mérida 97000, MexicoDepartamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Sonora, ITSON, Ciudad Obregón 85130, MexicoProtecting sensitive data, such as data collected from sensors, is crucial for ensuring the accurate assessment of sensing devices and preventing unauthorized access. In this regard, Internet of Things (IoT) devices offer a promising alternative for in situ monitoring. However, IoT sensing devices are often constrained by limited processing power and memory. Therefore, lightweight and efficient security algorithms are essential. This review paper assesses the implementation of lightweight cryptographic algorithms for power-constrained microcontrollers in IoT systems using symmetric cryptography. The implemented algorithms analyze the resource constraints of the IoT devices and compare their performance for the efficient implementation of secure monitoring systems. Experimental results demonstrate the performance of various lightweight encryption algorithms on low-power microcontrollers. The analysis reveals the comparative performance of these algorithms in terms of average power and energy consumption, memory usage, latency, and throughput.https://www.mdpi.com/2227-7080/13/1/3Internet of Thingsdata securitywireless sensor networklightweight encryption |
| spellingShingle | Jesús Soto-Cruz Erica Ruiz-Ibarra Javier Vázquez-Castillo Adolfo Espinoza-Ruiz Alejandro Castillo-Atoche Joaquin Mass-Sanchez A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers Technologies Internet of Things data security wireless sensor network lightweight encryption |
| title | A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers |
| title_full | A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers |
| title_fullStr | A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers |
| title_full_unstemmed | A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers |
| title_short | A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers |
| title_sort | survey of efficient lightweight cryptography for power constrained microcontrollers |
| topic | Internet of Things data security wireless sensor network lightweight encryption |
| url | https://www.mdpi.com/2227-7080/13/1/3 |
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