PKEST: Public-Key Encryption With Similarity Test for Medical Consortia Cloud Computing

Cloud computing eliminates the limitations of local hardware architecture while also enabling rapid data sharing between healthcare institutions. Encryption of electronic medical records (EMRs) before uploading to cloud servers is necessary for privacy. However, encryption brings challenges for computation. Public Key Encryption with Equality Test (PKEET) allows cloud servers to test the underlying message equality without decryption. Therefore, it can be used to classify the encrypted EMRs corresponding to different medical symptoms. However, traditional PKEETs have limitations in testing the similarity between the ciphertexts. Undoubtedly, it can not handle EMR classification with similar medical symptoms efficiently. In this work, we propose a lightweight public key encryption with similarity test (PKEST) for the EMR classification shared in medical consortia. Our scheme can resist offline message recovery attacks, which may be launched by the insider manager, and the traditional paring computation is not necessary. Our experiment simulation shows that the similarity error between ciphertext and plaintext is tiny when the parameters are set properly. Compared to previous works, our scheme not only achieves the classification of similar encrypted EMRs but is also more efficient than traditional PKEETs since our construction does not need paring computation anymore.

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Publication Details

Journal
IEEE Transactions on Cloud Computing
Published
2025-04-01
DOI
https://doi.org/10.1109/tcc.2025.3558858
Citations
2
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
6.49
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article

PKEST: Public-Key Encryption With Similarity Test for Medical Consortia Cloud Computing

Jin Yin, Song Han, Peng Chen, Shengke Zeng et al.
2 citations
IEEE Transactions on Cloud Computing
Cloud Data Security Solutions
6.49
article

PKEST: Public-Key Encryption With Similarity Test for Medical Consortia Cloud Computing

Jin Yin, Song Han, Peng Chen, Shengke Zeng, Junsong Chen
article en
2 citations

Abstract

Cloud computing eliminates the limitations of local hardware architecture while also enabling rapid data sharing between healthcare institutions. Encryption of electronic medical records (EMRs) before uploading to cloud servers is necessary for privacy. However, encryption brings challenges for computation. Public Key Encryption with Equality Test (PKEET) allows cloud servers to test the underlying message equality without decryption. Therefore, it can be used to classify the encrypted EMRs corresponding to different medical symptoms. However, traditional PKEETs have limitations in testing the similarity between the ciphertexts. Undoubtedly, it can not handle EMR classification with similar medical symptoms efficiently. In this work, we propose a lightweight public key encryption with similarity test (PKEST) for the EMR classification shared in medical consortia. Our scheme can resist offline message recovery attacks, which may be launched by the insider manager, and the traditional paring computation is not necessary. Our experiment simulation shows that the similarity error between ciphertext and plaintext is tiny when the parameters are set properly. Compared to previous works, our scheme not only achieves the classification of similar encrypted EMRs but is also more efficient than traditional PKEETs since our construction does not need paring computation anymore.

IEEE Transactions on Cloud ComputingVol. 13(2)
Xihua University (CN), West China Medical Center of Sichuan University (CN), Hangzhou City University
Openalex Percentile: Top 4%
Cloud Data Security Solutions
6.49
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PKEST: Public-Key Encryption With Similarity Test for Medical Consortia Cloud Computing — Jin Yin, Song Han, et al. · IEEE Transactions on Cloud Computing (2025) | TGRS Research Map | TGRS