Akademik Veri Yönetim Sistemi
2nd International Conference on Computing, IoT and Data Analytics, ICCIDA 2023, Ciudad Real, İspanya, 20 - 21 Temmuz 2023, cilt.1145 SCI, ss.223-230
This study attempts to secure the stored images and restrict unauthorized individuals from accessing them to effectively protect the data of the various systems, whether it be an image, a video, or a text file. For the data encryption process, symmetric encryption algorithms have been proposed. The findings of two well-known encryption algorithms were compared to make sure the best methods were being employed. Given that both Blowfish and AES symmetric encryption use block ciphers with a lot of data, they were chosen. Both techniques are capable of encoding high-resolution facial images, and the encoded files can be analyzed using quantitative metrics like histograms and time elapsed with volume scaling. According to the results obtained using the suggested criteria, AES is preferred since it produces specific results in terms of picture and file encoding quality and accuracy, processing and execution speed, coding complexity, coding efficiency, and homogeneity. In conclusion, symmetric encryption methods protect the face recognition system faster and more effectively than alternative options. The AES algorithm is favored over others because of its enormous block space, encryption accuracy, and speed of implementation.