A Comparative Analysis of AES and LWE in Digital Image Encryption

  • Aisyah Nooravieta Setiawan Universitas Bengkulu
  • Siska Dwi Kumala Universitas Bengkulu
  • Aisyah Enggel Luthfiyah Universitas Bengkulu
Keywords: Encryption; Digital_Image, AES, LWE, Decryption

Abstract

This study investigates a comparative analysis between two cryptographic algorithms, which are the Advanced Encryption Standard (AES) and the Learning With Errors (LWE), in the case of digital image encryption. The core of the aim is to evaluate the computational performance, output quality, and security of the two algorithms when applied to digital image data. The methods used include measuring the computational performance by recording the encryption and decryption times for both algorithms, as well as performing a detailed analysis of the image quality post-decryption, and comparing the security of the two algorithms. The results of this analysis indicate that AES outperforms LWE in terms of speed, providing faster encryption and decryption processes with minimal impact on image quality. However, LWE offers a stronger level of security against quantum-based attacks, although with a longer processing time. This study provides important insights for selecting the appropriate encryption algorithm based on security and performance requirements in digital image processing

References

Alagic, G., et al. (2022). Status report on the third round of the NIST post-quantum cryptography standardization process. National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8413-upd1

Ajtai, M. (1996). Generating hard instances of lattice problems. Quaderni di Matematica, 13, 1–32. https://doi.org/10.1145/237814.237838

Alexan, W., El Shabasy, N. H., Ehab, N., Maher, E. A., & Gabr, M. (2025). A secure and efficient image encryption scheme based on chaotic systems and nonlinear transformations. Scientific Reports, 15, 31246. https://doi.org/10.1038/s41598-025-15794-z

Almuhammadi, S., & Alhejri, I. (2017). A comparative analysis of AES common modes of operation. In Proceedings of the IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE). https://doi.org/10.1109/CCECE.2017.7946655

Bashir Abugharsa, A., et al. (2012). A new image encryption approach using the integration of a shifting technique and the AES algorithm. International Journal of Computer Applications, 42, 36–45. https://doi.org/10.5120/5723-7785

Dworkin, M. (2001). Recommendation for block cipher modes of operation (NIST Special Publication 800-38A). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-38A

Elmenyawi, M. A., Abdel Aziem, N. M., & Bahaa-Eldin, A. M. (2024). Efficient and secure color image encryption system with enhanced speed and robustness based on binary tree. Egyptian Informatics Journal, 27, 100487. https://doi.org/10.1016/j.eij.2024.100487

Hua, Z., & Zhou, Y. (2016). Image encryption using 2D logistic map. Information Sciences. https://doi.org/10.1016/j.ins.2016.01.017

Lafta, Z. A. (2005). Image encryption systems based on the advanced encryption standard. International Journal of Future Engineering Innovations, 2, 1–6.

Lepoint, T., & Naehrig, M. (2014). A comparison of the LWE-based homomorphic encryption schemes. Cryptology ePrint Archive. https://eprint.iacr.org/2014/062

Peikert, C. (2016). A decade of lattice cryptography. Foundations and Trends in Theoretical Computer Science. https://doi.org/10.1561/0400000074

Regev, O. (2005). On lattices, learning with errors, random linear codes, and cryptography. Journal of the ACM, 56(6), 1–40. https://doi.org/10.1145/1568318.1568324

Setiawan, A. N., et al. (2024). Learning with error for digital image encryption. Journal of Fundamental Mathematics and Applications, 7(2), 149–162. https://doi.org/10.14710/jfma.v7i2.21073

Stinson, D. R. (2006). Cryptography: Theory and practice (3rd ed.). CRC Press.

Zhang, X., & Hu, Y. (2021). Multiple-image encryption algorithm based on the 3D scrambling model and dynamic DNA coding. Optics & Laser Technology, 141, 107073. https://doi.org/10.1016/j.optlastec.2021.107073

Published
2026-03-11
Section
Articles