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DOI: 10.14569/IJACSA.2019.0101169
PDF

Lizard Cipher for IoT Security on Constrained Devices

Author 1: Ari Kusyanti
Author 2: Rakhmadhany Primananda
Author 3: Kalbuadi Joyo Saputro

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Over the past decades, security become the most challenging task in Internet of Things. Therefore, a convenient hardware cryptographic module is required to provide accelerated cryptographic operations such as encryption. This study investigates the implementation of Lizard cipher on three Arduino platforms to determine its performance. This study is successful in implementing Lizard cipher on Arduino platform as a constrained devices and resulting 0.98 MB of memory utilization. The execution time of Lizard cipher is compared among Arduino variants, i.e Arduino Mega, Arduino Nano and Arduino Uno with ANOVA test. Tukey’s HSD post-hoc test reveales that the execution time is significantly slower in Arduino Mega compared to Arduino Nano and Arduino Uno. This result will help IoT security engineers in selecting a lightweight cipher that is suitable for constraints of the target device.

Keywords: Lizard cipher; IoT security; Arduino; ANOVA

Ari Kusyanti, Rakhmadhany Primananda and Kalbuadi Joyo Saputro, “Lizard Cipher for IoT Security on Constrained Devices” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101169

@article{Kusyanti2019,
title = {Lizard Cipher for IoT Security on Constrained Devices},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101169},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101169},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Ari Kusyanti and Rakhmadhany Primananda and Kalbuadi Joyo Saputro}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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