Secure Cloud Storage and Retrieval of Personal Health Data From Smart Wearable Devices With Privacy-Preserving Techniques

Zhuolin Mei, Jing Yu, Jinzhou Huang, Bin Wu, Zhiqiang Zhao, Caicai Zhang, Jiaoli Shi, Xiancheng Wang and Zongda Wu
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Zhuolin Mei: Jiujiang University, China
Jing Yu: Jiujiang University, China
Jinzhou Huang: Hubei University of Arts and Science, China
Bin Wu: Jiujiang University, China
Zhiqiang Zhao: Ningxia Normal University, China
Caicai Zhang: Zhejiang Institute of Mechanical and Electrical Engineering, China
Jiaoli Shi: Jiujiang Key Laboratory of Network and Information Security, China
Xiancheng Wang: Jiujiang University, China
Zongda Wu: Shaoxing University, China

International Journal of Web Services Research (IJWSR), 2023, vol. 20, issue 1, 1-18

Abstract: With the increasing awareness of personal health, personal health data management has become an important part of people's lives. Smart wearable devices (SWDs) collect people's personal health data, and then store the data on cloud. Authorized entities access the data to provide personalized health services. However, these personal health data contain a large amount of sensitive information, which may pose a significant threat to people's lives and property. To address this, this paper proposes a privacy-preserving solution. SWD data is encrypted, and secure indexes are created using Bloom filter and 0-1 encoding. Encrypted data and indexes are stored in a semi-trusted cloud. Only authorized entities can access the ciphertexts, ensuring secure personalized health management. Extensive experiments validate the scheme's efficiency in index construction, query token generation, and ciphertext search. Security analysis confirms no external entity, including the cloud, gains additional information during retrieval.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:20:y:2023:i:1:p:1-18

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