Abstract
This paper aims to protect the facial recognition system by securing the stored images and preventing unauthorized people from accessing them. Symmetric and asymmetric encryption techniques were proposed for the image encryption process. To ensure the use of the most efficient techniques, thus, compare the results between two popular encryption algorithms. AES was chosen to represent the symmetric cipher and the RSA for asymmetric ciphers. High-resolution face images are encoded by both algorithms, as well as the ability to be analyzed by quantitative parameters such as PSNR, histogram, entropy, and elapsed time. The results showed through the proposed criteria the preference of AES, as it provided distinguished results in image coding in terms of coding quality and accuracy, processing speed and execution, coding complexity, coding efficiency, and homogeneousness. To sum up, symmetric encryption techniques protect the face recognition system faster and better than asymmetric encryption techniques.
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Alhayani, M., Al-Khiza’ay, M. (2023). Analyze Symmetric and Asymmetric Encryption Techniques by Securing Facial Recognition System. In: Ben Ahmed, M., Abdelhakim, B.A., Ane, B.K., Rosiyadi, D. (eds) Emerging Trends in Intelligent Systems & Network Security. NISS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-031-15191-0_10
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DOI: https://doi.org/10.1007/978-3-031-15191-0_10
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