The week's pick
Reseach Article
An Efficient Scheme for Secure Similarity-Based Medical Image Retrieval using Searchable Symmetric Encryption
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 22 |
| Year of Publication: 2024 |
| Authors: Irene Getzi S. |
10.5120/ijca2024923655
|
Irene Getzi S. . An Efficient Scheme for Secure Similarity-Based Medical Image Retrieval using Searchable Symmetric Encryption. International Journal of Computer Applications. 186, 22 ( May 2024), 19-24. DOI=10.5120/ijca2024923655
Abstract
The knowledge extracted from medical imaging data, amassed from hospital cloud repositories can transform the quality of healthcare. This research paper proposes a secure medical image retrieval scheme using Searchable Symmetric Encryption that performs similarity search over encrypted Chest X-Ray (CXR) dataset. The secure index is built using randomized Histogram of Oriented Gradients (HOG) feature descriptor and is organized as an N-dimensional dense array. The search phase uses a probabilistic token generation approach using the inner product of vectors to prevent statistical attacks and to control leakage. Similarity retrieval implemented using Lloyd’s algorithm with seed selection facilitate efficient search. The CXR image dataset of pneumonia affected patients from National Institute of Health, USA is used to test the efficacy of the scheme. The randomization used at various levels such as wavelet approximation, sparse randomized matrices and standardization of the feature vector diffuses the data and affects the reconstruction of the image. The AUC scores of 0.877 using ROC and 0.906 using precision-recall curves show that the secure retrieval accuracy is compatible with the non-secure algorithms. The experimental results and mathematical justification are reported.
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