Pemeringkatan Algoritma Kriptografi Ringan untuk Keamanan Perangkat IoT Menggunakan Simple Additive Weighting
DOI:
https://doi.org/10.70404/1g4k6w77Keywords:
Internet of Things, Kriptografi Ringan, Systematic Literature Review, TOPSIS, Keamanan DataAbstract
Penerapan teknologi Internet of Things (IoT) dalam berbagai bidang seperti kesehatan, industri, transportasi, dan rumah pintar menuntut adanya mekanisme keamanan data yang efektif dan efisien, terutama karena sebagian besar perangkat IoT memiliki keterbatasan sumber daya seperti memori, daya komputasi, dan konsumsi energi. Oleh karena itu, diperlukan algoritma kriptografi ringan yang mampu memberikan perlindungan data secara efektif tanpa membebani kinerja perangkat. Penelitian ini bertujuan untuk melakukan kajian sistematis terhadap algoritma kriptografi ringan yang digunakan pada perangkat IoT serta melakukan pemeringkatan algoritma berdasarkan beberapa kriteria penilaian. Metode yang digunakan dalam penelitian ini adalah Systematic Literature Review (SLR) untuk mengidentifikasi dan menganalisis penelitian terdahulu, serta metode Simple Additive Weighting (SAW) untuk menentukan peringkat algoritma kriptografi ringan yang paling sesuai. Berdasarkan proses SLR, diperoleh beberapa algoritma yang relevan untuk dianalisis, yaitu ASCON, TinyJAMBU, GIFT-COFB, Grain-128AEAD, dan Xoodyak. Kriteria yang digunakan dalam proses pemeringkatan meliputi tingkat keamanan, kecepatan enkripsi, konsumsi memori, konsumsi energi, dan kemudahan implementasi. Hasil pengujian menggunakan metode SAW menunjukkan bahwa TinyJAMBU memperoleh nilai preferensi tertinggi sebesar 0,920, diikuti oleh ASCON sebesar 0,827, Grain-128AEAD sebesar 0,820, Xoodyak sebesar 0,807, dan GIFT-COFB sebesar 0,727. Berdasarkan hasil tersebut, TinyJAMBU menjadi algoritma yang paling direkomendasikan dalam skenario pembobotan yang digunakan karena memiliki keunggulan pada aspek kecepatan, efisiensi memori, dan konsumsi energi. Namun, ASCON tetap menjadi alternatif kuat karena memiliki tingkat keamanan tinggi dan telah banyak digunakan sebagai rujukan dalam pengembangan kriptografi ringan. Penelitian ini diharapkan dapat menjadi referensi dalam pemilihan algoritma kriptografi ringan yang sesuai untuk meningkatkan keamanan perangkat IoT dengan sumber daya terbatas.
References
Ansari, S. A., & Ali, S. (2025). A systematic review of lightweight cryptographic schemes for security and privacy in IoT. Discover Computing, 28, Article 266. https://doi.org/10.1007/s10791-025-09755-3
Anton, C. S., Stângaciu, D., Stănescu, D., Găină, L. I., & Micea, M. V. (2025). Securing IoT edge: A survey on lightweight cryptography, anonymous authentication and device integrity. International Journal of Information Security. https://doi.org/10.1007/s10207-025-01071-7
Beaulieu, R., Shors, D., Smith, J., Treatman-Clark, S., Weeks, B., & Wingers, L. (2015). The SIMON and SPECK lightweight block ciphers. In Proceedings of the 52nd Annual Design Automation Conference (pp. 1–6). ACM. https://doi.org/10.1145/2744769.2747946
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of-the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. https://doi.org/10.1016/j.eswa.2012.05.056
Beierle, C., Jean, J., Kölbl, S., Leander, G., Moradi, A., Peyrin, T., Sasaki, Y., Sasdrich, P., & Sim, S. M. (2016). The SKINNY family of block ciphers and its low-latency variant MANTIS. In Advances in cryptology – CRYPTO 2016 (pp. 123–153). Springer. https://doi.org/10.1007/978-3-662-53008-5_5
Bogdanov, A., Knudsen, L. R., Leander, G., Paar, C., Poschmann, A., Robshaw, M. J. B., Seurin, Y., & Vikkelsoe, C. (2007). PRESENT: An ultra-lightweight block cipher. In Cryptographic hardware and embedded systems – CHES 2007 (pp. 450–466). Springer. https://doi.org/10.1007/978-3-540-74735-2_31
Borghoff, J., Canteaut, A., Güneysu, T., Kavun, E. B., Knežević, M., Knudsen, L. R., Leander, G., Nikov, V., Paar, C., Rechberger, C., Rombouts, P., Thomsen, S. S., & Yalçın, T. (2012). PRINCE: A low-latency block cipher for pervasive computing applications. In Advances in cryptology – ASIACRYPT 2012 (pp. 208–225). Springer. https://doi.org/10.1007/978-3-642-34961-4_14
Dobraunig, C., Eichlseder, M., Mendel, F., & Schläffer, M. (2021). Ascon v1.2: Lightweight authenticated encryption and hashing. Journal of Cryptology, 34(3), Article 33. https://doi.org/10.1007/s00145-021-09398-9
Gong, Z., Nikova, S., & Law, Y. W. (2012). KLEIN: A new family of lightweight block ciphers. In RFID. Security and privacy (pp. 1–18). Springer. https://doi.org/10.1007/978-3-642-25286-0_1
Guo, J., Peyrin, T., Poschmann, A., & Robshaw, M. (2011). The LED block cipher. In Cryptographic hardware and embedded systems – CHES 2011 (pp. 326–341). Springer. https://doi.org/10.1007/978-3-642-23951-9_22
Hong, D., Sung, J., Hong, S., Lim, J., Lee, S., Koo, B.-S., Lee, C., Chang, D., Lee, J., Jeong, K., Kim, H., Kim, J., & Chee, S. (2006). HIGHT: A new block cipher suitable for low-resource device. In Cryptographic hardware and embedded systems – CHES 2006 (pp. 46–59). Springer. https://doi.org/10.1007/11894063_4
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering: A systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
Pandey, V., Komal, & Dincer, H. (2023). A review on TOPSIS method and its extensions for different applications with recent development. Soft Computing, 27, 18011–18039. https://doi.org/10.1007/s00500-023-09011-0
Radhakrishnan, I., Jadon, S., & Honnavalli, P. B. (2024). Efficiency and security evaluation of lightweight cryptographic algorithms for resource-constrained IoT devices. Sensors, 24(12), Article 4008. https://doi.org/10.3390/s24124008
Rana, M., Mamun, Q., & Islam, R. (2022). Lightweight cryptography in IoT networks: A survey. Future Generation Computer Systems, 129, 77–89. https://doi.org/10.1016/j.future.2021.11.011
Shah, A., & Engineer, M. (2019). A survey of lightweight cryptographic algorithms for IoT-based applications. In Smart innovations in communication and computational sciences (pp. 283–293). Springer. https://doi.org/10.1007/978-981-13-2414-7_27
Shibutani, K., Isobe, T., Hiwatari, H., Mitsuda, A., Akishita, T., & Shirai, T. (2011). Piccolo: An ultra-lightweight blockcipher. In Cryptographic hardware and embedded systems – CHES 2011 (pp. 342–357). Springer. https://doi.org/10.1007/978-3-642-23951-9_23
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
Zhang, W., Bao, Z., Lin, D., Rijmen, V., Yang, B., & Verbauwhede, I. (2015). RECTANGLE: A bit-slice lightweight block cipher suitable for multiple platforms. Science China Information Sciences, 58, Article 122103. https://doi.org/10.1007/s11432-015-5459-7
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