Designing secure image retrieval with SKDTree and security protocols

With the rise of cloud computing, traditional image retrieval techniques struggle to handle the explosive growth of image data. This study proposes a secure image retrieval method based on the secure KD-tree, integrating scale invariant feature transform for feature extraction and secure interaction protocols for encryption. Experimental results show that the improved SKDTree algorithm achieves a retrieval time of 48 ms for file 1, outperforming the spectral encoding-based subgraph indexing (62 ms) and graph isomorphism (59 ms) algorithms. Additionally, processing 40 images takes 48.63 s, significantly faster than the 68.36 s required by the spectral encoding-based approach. These findings demonstrate that the proposed method ensures efficient and accurate image retrieval. The study contributes to secure multi-server collaboration, enhancing retrieval performance in large-scale cloud environments.