In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes
In the rapidly evolving landscape of the Internet of Things (IoT) and Wireless Sensor Networks (WSN), the need for secure and efficient data transmission is paramount. Block ciphers, which are fundamental cryptographic algorithms used for encrypting data, play a critical role in ensuring data securi...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824014480 |
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| author | Amal Hkiri Mouna Karmani Fawaz Hasan Alasmary Omar Ben Bahri Ahmed Mohammed Murayr Mohsen Machhout |
| author_facet | Amal Hkiri Mouna Karmani Fawaz Hasan Alasmary Omar Ben Bahri Ahmed Mohammed Murayr Mohsen Machhout |
| author_sort | Amal Hkiri |
| collection | DOAJ |
| description | In the rapidly evolving landscape of the Internet of Things (IoT) and Wireless Sensor Networks (WSN), the need for secure and efficient data transmission is paramount. Block ciphers, which are fundamental cryptographic algorithms used for encrypting data, play a critical role in ensuring data security within these environments. This study delves into the implementation and performance evaluation of lightweight block ciphers, including PRESENT, Piccolo, RECTANGLE, SPARX, and LED, on various sensor motes. The research scrutinizes these cryptographic solutions within the resource-constrained environments characteristic of IoT and WSN deployments. Our investigation commences with a meticulous selection of sensor motes and platforms, enabling realistic simulations and practical evaluations. The Contiki Cooja framework, a comprehensive operating system (OS), development toolkit, and network simulator, was utilized to facilitate these assessments. Subsequently, we conduct a comprehensive performance assessment, rigorously analyzing each cipher's impact on memory usage, power consumption, and execution time. The results reveal that the SPARX cipher emerged as the most resource-efficient, with the lowest memory footprint, while the RECTANGLE cipher required more memory across platforms. |
| format | Article |
| id | doaj-art-874cd74403304ab5bea8227e4c617d8b |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-874cd74403304ab5bea8227e4c617d8b2025-02-07T04:47:03ZengElsevierAlexandria Engineering Journal1110-01682025-02-01113461479In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motesAmal Hkiri0Mouna Karmani1Fawaz Hasan Alasmary2Omar Ben Bahri3Ahmed Mohammed Murayr4Mohsen Machhout5Physic Department, Faculty of Sciences of Monastir, Electronics and Micro-Electronics Laboratory, Monastir, Tunisia; Corresponding author.Physic Department, Faculty of Sciences of Monastir, Electronics and Micro-Electronics Laboratory, Monastir, TunisiaDepartment of Science and Technology College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Science and Technology College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Science and Technology College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaPhysic Department, Faculty of Sciences of Monastir, Electronics and Micro-Electronics Laboratory, Monastir, TunisiaIn the rapidly evolving landscape of the Internet of Things (IoT) and Wireless Sensor Networks (WSN), the need for secure and efficient data transmission is paramount. Block ciphers, which are fundamental cryptographic algorithms used for encrypting data, play a critical role in ensuring data security within these environments. This study delves into the implementation and performance evaluation of lightweight block ciphers, including PRESENT, Piccolo, RECTANGLE, SPARX, and LED, on various sensor motes. The research scrutinizes these cryptographic solutions within the resource-constrained environments characteristic of IoT and WSN deployments. Our investigation commences with a meticulous selection of sensor motes and platforms, enabling realistic simulations and practical evaluations. The Contiki Cooja framework, a comprehensive operating system (OS), development toolkit, and network simulator, was utilized to facilitate these assessments. Subsequently, we conduct a comprehensive performance assessment, rigorously analyzing each cipher's impact on memory usage, power consumption, and execution time. The results reveal that the SPARX cipher emerged as the most resource-efficient, with the lowest memory footprint, while the RECTANGLE cipher required more memory across platforms.http://www.sciencedirect.com/science/article/pii/S1110016824014480IoTWSNLightweight cryptographySensor node platforms |
| spellingShingle | Amal Hkiri Mouna Karmani Fawaz Hasan Alasmary Omar Ben Bahri Ahmed Mohammed Murayr Mohsen Machhout In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes Alexandria Engineering Journal IoT WSN Lightweight cryptography Sensor node platforms |
| title | In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes |
| title_full | In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes |
| title_fullStr | In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes |
| title_full_unstemmed | In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes |
| title_short | In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes |
| title_sort | in depth study of lightweight block ciphers performance assessment and implementation on sensor motes |
| topic | IoT WSN Lightweight cryptography Sensor node platforms |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824014480 |
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