Analisis Performa Arduino Uno Dalam Embedded System Berbasis RFID Terhadap Algoritma Enkripsi SKINNY
Kata Kunci:
SKINNY, algoritma enkripsi ringan, RFID, performa sistem tertanam, IoTAbstrak
Penelitian ini menganalisis performa algoritma enkripsi SKINNY pada embedded system berbasis RFID untuk menilai efisiensi dan stabilitasnya dalam penggunaan memori (RAM dan Flash), konsumsi daya, dan waktu eksekusi. Dengan menggunakan Arduino Uno, penelitian ini mencatat metrik performa pada berbagai ukuran data (16 hingga 304 byte). Hasil menunjukkan stabilitas dan efisiensi algoritma SKINNY pada parameter yang diuji, termasuk penggunaan daya yang konsisten (~0,026–0,03 W) dan waktu eksekusi yang meningkat secara linear dengan ukuran data. Uji Kruskal-Wallis mengkonfirmasi tidak adanya perbedaan signifikan pada performa berdasarkan ukuran data. Algoritma SKINNY terbukti layak untuk aplikasi IoT yang membutuhkan keamanan data dengan efisiensi tinggi.
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Fortune Business Insights. (2024, November 4). Internet of Things [IoT] Market
Size, Share, Growth, Trends, 2032. www.fortunebusinessinsights.com.
Retrieved November 25, 2024, from
https://www.fortunebusinessinsights.com/industry-reports/internet-of
things-iot-market-100307
Khan, N. A., Azlan Awang, & Samsul Ariffin Abdul Karim. (2022). Security in
Internet of Things: A Review. In IEEE Access (Vol. 10, p. 104649).
https://doi.org/10.1109/ACCESS.2022.3209355
Cortier, V., Gaudry, P., & Glondu, S. (2019). Belenios: A Simple Private and
Verifiable Electronic Voting System. In Lecture notes in computer science
(pp. 214–238).
https://doi.org/10.1007/978-3-030-19052-1_14
´Angel Longueira-Romero, Rosa Iglesias, & Inaki Garitano. (2020, July 20). How to
quantify the security level of embedded systems? A Taxonomy of Security
Metrics.
IEEE
Conference
Publication
https://ieeexplore.ieee.org/document/9442219
|
IEEE
Xplore.
Thakor, V. A., Razzaque, M. A., & Khandaker, M. R. A. (2021). Lightweight
Cryptography Algorithms for Resource-Constrained IoT Devices: A review,
comparison and research opportunities. IEEE Access, 9, 28177–28193.
https://doi.org/10.1109/access.2021.3052867
Regla, A. I., & Festijo, E. D. (2022). Performance Analysis of Light-weight
Cryptographic Algorithms for Internet of Things (IoT) Applications: A
Systematic Review. 2022 IEEE 7th International Conference for Convergence
in
Technology
(I2CT),
https://doi.org/10.1109/i2ct54291.2022.9824108
,
–5.
Feng, X., Li, S., & Institute of Microelectronics, Tsinghua University, Beijing, China.
(2016). An area-efficient FPGA Implementation of SKINNY Block Cipher for
Lightweight Application [Journal-article].
https://doi.org/10.1109/EDSSC.2017.8126437
Beierle, C., Jean, J., K¨Olbl, S., Leander, G., Moradi, A., Peyrin, T., Sasaki, Y.,
Sasdrich, P., Sim, S. M., Horst G¨ortz Institute for IT Security, Ruhr-Universit¨at
Bochum, Germany, School of Physical and Mathematical Sciences, Nanyang
Technological University, Singapore, DTU Compute, Technical University of
Denmark, Denmark, & NTT Secure Platform Laboratories, Japan. (2016). The
SKINNY Family of Block Ciphers and its Low-Latency Variant MANTIS (FullVersion) [Journal-article]. CRYPTO 2016. https://doi.org/10.1007/978-3-662
-5_5
Ge, J., Xu, Y., Liu, R., Si, E., Shang, N., & Wang, A. (2018). Power attack and
protected implementation on lightweight block Cipher SKINNY. In 2018 13th
Asia
Joint
Conference
on
https://doi.org/10.1109/asiajcis.2018.00020
Information
Security.
Chandra, R. V. H., Kusyanti, A., & Data, M. (2018). Analisis Performa Proses Enkripsi
dan Dekripsi Menggunakan Algoritme AES-128 Pada Berbagai Format File.
Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(1), 481
https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/4146
Pasricha, S. (2022). Embedded Systems Education: Experiences With Application
Driven Pedagogy. IEEE Embedded Systems Letters, 14(4), 167–170.
https://doi.org/10.1109/les.2022.3175686
Bhavani, A., & Ponnusamy, V. (2024). Genetic algorithm and the Kruskal-Wallis H
test-based trainer selection federated learning for IoT security. IEEE Access,
, 120474–120481.
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