Studi Pendekatan Quality & Differential Analysis TerhadapKinerja Algoritma AES-CBC pada Enkripsi Gambar

Penulis

  • Sartika Gafur Universitas Ahmad Dahlan, Yogyakarta
  • Eko Aribowo Universitas Ahmad Dahlan, Yogyakarta

DOI:

https://doi.org/10.25126/jtiik.2025125

Kata Kunci:

AES-CBC, image encryption, quality & differential analysis, data security, performance evaluation

Abstrak

Penelitian ini mengeksplorasi pendekatan Quality & Differential Analysis untuk menilai kinerja algoritma AES-Cipher Block Chaining (AES-CBC) pada enkripsi gambar dengan resolusi 512 x 512 piksel. Algoritma AES-CBC dipilih karena kemampuannya menyediakan enkripsi blok yang aman dan efisien terhadap data berstruktur pada gambar berekstensi *.jpg, *.jpeg, *.png, *.gif, *.bmp, *.tiff, *.webp, *.heic, *.heif, *.svg, *.raw, *.psd, dan *.ico. Penelitian ini menggunakan tujuh metrik evaluasi yang komprehensif: Encryption Quality (MSE, RMSE, PSNR, SSIM) dan Differential Analysis (NPCR, UACI, CC), yang lebih komprehensif dibandingkan beberapa penelitian sebelumnya yang umumnya hanya menggunakan dua atau tiga metrik. Hasil penelitian menunjukkan bahwa algoritma AES-CBC mampu menghasilkan enkripsi gambar yang kuat, dengan nilai MSE dan RMSE sebesar 0.0, PSNR tak terhingga (inf dB), dan SSIM 1.0. Nilai NPCR berkisar antara 99.97% hingga 100%, UACI antara 49.87% hingga 50.26%, dan CC antara -0.0055 hingga 0.007, menunjukkan kemampuan algoritma dalam menangani perubahan diferensial. Penelitian ini memberikan wawasan mendalam tentang efektivitas algoritma AES-CBC dalam mengamankan file gambar dan menawarkan analisis menyeluruh tentang kualitas enkripsi dan ketahanannya terhadap serangan diferensial. Hasil penelitian ini diharapkan dapat berkontribusi pada pengembangan teknik enkripsi yang lebih aman di masa depan.

 

Abstract

This research explores Quality & Differential Analysis approach to assess the performance of AES-Cipher Block Chaining (AES-CBC) algorithm on image encryption with 512 x 512 pixels resolution. The AES-CBC algorithm was chosen for its ability to provide secure and efficient block encryption of structured data in images with the extensions *.jpg, *.jpeg, *.png, *.gif, *.bmp, *.tiff, *.webp, *.heic, *.heif, *.svg, *.raw, *.psd, and *.ico. This research uses seven comprehensive evaluation metrics: Encryption Quality (MSE, RMSE, PSNR, SSIM) and Differential Analysis (NPCR, UACI, CC), which is more comprehensive than some previous studies that generally only use two or three metrics. The results show that the AES-CBC algorithm is able to produce strong image encryption, with MSE and RMSE values of 0.0, PSNR infinity (inf dB), and SSIM 1.0. NPCR values range from 99.97% to 100%, UACI between 49.87% to 50.26%, and CC between -0.0055 to 0.007, demonstrating the algorithm's ability to handle differential changes. This research provides an in-depth insight into the effectiveness of the AES-CBC algorithm in securing image files and offers a thorough analysis of its encryption quality and resistance to differential attacks. The results of this research are expected to contribute to the development of more secure encryption techniques in the future.

Downloads

Download data is not yet available.

Referensi

ALEXAN, W., CHEN, Y.L., POR, L.Y. AND GABR, M., 2023. Hyperchaotic Maps and the Single Neuron Model: A Novel Framework for Chaos-Based Image Encryption. Symmetry, 15(5), pp.1–31. https://doi.org/10.3390/sym15051081.

ALGHAMDI, Y. AND MUNIR, A., 2024. Image Encryption Algorithms: A Survey of Design and Evaluation Metrics. Journal of Cybersecurity and Privacy, 4(1), pp.126–152. https://doi.org/10.3390/jcp4010007.

ALIMZHANOVA, Z., SKUBLEWSKA-PASZKOWSKA, M. AND NAZARBAYEV, D., 2023. Periodicity Detection of the Substitution Box in the CBC Mode of Operation: Experiment and Study. IEEE Access, 11(July), pp.75686–75695. https://doi.org/10.1109/ACCESS.2023.3295909.

ALSAFFAR, D.M., SULTAN ALMUTIRI, A., ALQAHTANI, B., ALAMRI, R.M., FAHHAD ALQAHTANI, H., ALQAHTANI, N.N., MOHAMMED ALSHAMMARI, G. AND ALI, A.A., 2020. Image Encryption Based on AES and RSA Algorithms. ICCAIS 2020 - 3rd International Conference on Computer Applications and Information Security, pp.1–5. https://doi.org/10.1109/ICCAIS48893.2020.9096809.

ARMIJO-CORREA, J.O., MURGUÍA, J.S., MEJÍA-CARLOS, M., ARCE-GUEVARA, V.E. AND ABOYTES-GONZÁLEZ, J.A., 2020. An improved visually meaningful encrypted image scheme. Optics and Laser Technology, 127(January), p.106165. https://doi.org/10.1016/j.optlastec.2020.106165.

CHOWDHARY, C.L., PATEL, P.V., KATHROTIA, K.J., ATTIQUE, M., KUMARESAN, P. AND IJAZ, M.F., 2020. Analytical study of hybrid techniques for image encryption and decryption. Sensors (Switzerland), 20(18), pp.1–19. https://doi.org/10.3390/s20185162.

FIGUEROA, D.E., 2023. Compromising sensitive information through Padding Oracle and Known Plaintext attacks in Encrypt-then-TLS scenarios Padding Oracle attack in AES-CBC. pp.1–6.

G, E.J., A, H.M. AND S, F.H.M., 2022. Enhanced Security:

Implementation of Hybrid Image Steganography Technique using Low-Contrast LSB and AES-CBC Cryptography. International Journal of Advanced Computer Science and Applications, 13(8), pp.899–905. https://doi.org/10.14569/ijacsa.2022.01308104.

GEETHA, B.T., MOHAN, P., MAYURI, A.V.R., JACKULIN, T., ALDO STALIN, J.L. AND ANITHA, V., 2022. Pigeon Inspired Optimization with Encryption Based Secure Medical Image Management System. Computational Intelligence and Neuroscience, 2022(Cc). https://doi.org/10.1155/2022/2243827.

GUPTA, N. AND VIJAY, R., 2022. Hybrid image compression-encryption scheme based on multilayer stacked autoencoder and logistic map. China Communications, 19(1), pp.238–252. https://doi.org/10.23919/JCC.2022.01.017.

HIDAYATI, L.N., FITRIANA, G.F. AND ADAM, I.F., 2021. Perbandingan Keacakan Citra Enkripsi Algoritma AES dan Camelia Uji NPCR dan UACI. JURIKOM (Jurnal Riset Komputer), 8(6), p.274. https://doi.org/10.30865/jurikom.v8i6.3624.

ISMADIAH, R., SYAHRIZAL, M. AND RAMADHANI, P., 2020. Kombinasi Algoritma Cipher Block Chaining (CBC) dan Mars Pada Penyandian File PDF. Journal of Computer System and Informatics (JoSYC), 1(4), pp.337–345.

MAHMUD, W. AND MINTORINI, E., 2020. Pengamanan Data Kombinasi Metode Cipher Block Chaining dan Modifikasi LSB. Techno.Com, 19(1), pp.97–102. https://doi.org/10.33633/tc.v19i1.3375.

MALIK, A., HE, P., WANG, H., KHAN, A.N., PIRASTEH, S. AND ABDULLAHI, S.M., 2020. High-Capacity Reversible Data Hiding in Encrypted Images Using Multi-Layer Embedding. IEEE Access, 8, pp.148997–149010. https://doi.org/10.1109/ACCESS.2020.3015882.

NOSHADIAN, S., EBRAHIMZADE, A. AND KAZEMITABAR, S.J., 2020. Breaking a chaotic image encryption algorithm. Multimedia Tools and Applications, 79(35–36), pp.25635–25655. https://doi.org/10.1007/s11042-020-09233-6.

NURHANDHI, M. AND SUHENDAR, A., 2023. Improving Firebase BaaS Service Security in Counseling Chat Applications: AES-256 and CBC Approach for End-to-End Encryption. JISA(Jurnal Informatika dan Sains), 6(2), pp.153–160. https://doi.org/10.31326/jisa.v6i2.1783.

PARVATHRAJ, K.M.M. AND ANOOP, B.K., 2023. An Image Encryption Model Using Hyper Chaotic Map Dependent Grey-Intelligent Optimization. Proceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023, pp.301–306. https://doi.org/10.1109/ICPCSN58827.2023.00056.

REZNIK, Y., 2023. Another Look at SSIM Image Quality Metric. IS and T International Symposium on Electronic Imaging Science and Technology, 35(8), pp.1–7. https://doi.org/10.2352/EI.2023.35.8.IQSP-305.

SANKPAL, P.R. AND VIJAYA, P.A., 2021. Performance Evaluation of Nested Watermarked Scheme using Objective Image Quality Metrics. Journal of University of Shanghai for Science and Technology, 23(06), pp.306–314. https://doi.org/10.51201/jusst/21/05273.

SARA, U., AKTER, M. AND UDDIN, M.S., 2019. Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study. Journal of Computer and Communications, 07(03), pp.8–18. https://doi.org/10.4236/jcc.2019.73002.

SETIADI, D.R.I.M., 2020. PSNR vs SSIM: imperceptibility quality assessment for image steganography. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-020-10035-z.

SETIADI, D.R.I.M., RACHMAWANTO, E.H., SARI, C.A., SUSANTO, A. AND DOHEIR, M., 2018. A Comparative Study of Image Cryptographic Method. Proceedings - 2018 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018, pp.336–341.

https://doi.org/10.1109/ICITACEE.2018.8576907.

SINGH, A., AGARWAL, P. AND CHAND, M., 2019. Image Encryption and Analysis using Dynamic AES. 2019 International Conference on Optimization and Applications, ICOA 2019, pp.1–6. https://doi.org/10.1109/ICOA.2019.8727711.

WANG, J., CHEN, P., ZHENG, N., CHEN, B., PRINCIPE, J.C. AND WANG, F.Y., 2021. Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding. Neurocomputing, 422, pp.139–149. https://doi.org/10.1016/j.neucom.2020.10.018

YAN, X., WANG, X. AND XIAN, Y., 2021. Chaotic image encryption algorithm based on arithmetic sequence scrambling model and DNA encoding operation. Multimedia Tools and Applications, 80(7), pp.10949–10983. https://doi.org/10.1007/s11042-020-10218-8.

Diterbitkan

31-10-2025

Terbitan

Bagian

Ilmu Komputer

Cara Mengutip

Studi Pendekatan Quality & Differential Analysis TerhadapKinerja Algoritma AES-CBC pada Enkripsi Gambar. (2025). Jurnal Teknologi Informasi Dan Ilmu Komputer, 12(5), 1115-1122. https://doi.org/10.25126/jtiik.2025125