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

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, Zongda Wu
Copyright: © 2023 |Pages: 18
DOI: 10.4018/IJWSR.331388
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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.
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Introduction

With the increasing public health awareness, personal health data management is becoming an important component in people's lives (Zeng et al., 2015). Smart wearable devices (SWDs), such as smartwatches, smart bracelets, etc., can collect motion data (such as motion trajectory and status, etc.) and physiological data (such as heart rate and blood pressure, etc.) of the SWD wearer (SWDW) anytime and anywhere. In a personal health data management, the data collected by SWDs are typically organized into structured records. For example, data collected by SWDs show that on June 16, 2023, at 8:15 a.m., the SWDW's heart rate was 80 while located at 31°N, 114°E. This information can be represented as a record <2023, 6, 16, 08, 15, 1, 114, 0, 31, 80>, where 1 represents east longitude and 0 represents north latitude. However, due to the small storage space of SWDs and the risk of accidental damage or loss, the collected data are often automatically transmitted to the paired smartphone through a Bluetooth connection and then uploaded to the cloud to obtain unlimited storage space and use the cloud's data backup and disaster recovery mechanisms to ensure that the data are permanently available. In addition, when the data collected by SWDs are uploaded to the cloud as part of electronic health records, medical institutions, insurance companies, or other health management institutions can access and use the data to provide more personalized health management services (Zeng et al., 2018). However, the data collected by SWDs contain sensitive information about the SWDWs. Once this sensitive information is leaked, it may affect personal image, property safety, and even life safety. Therefore, ensuring the security and privacy of sensitive information collected by SWDs and outsourced to the cloud is very important. Encryption is an effective solution to protect the data collected by SWDs. However, traditional encryption methods (e.g., block encryption) cannot support the most common data operations in the cloud, such as ciphertext retrieval (Cui et al., 2023). Although new ciphertext retrieval schemes have been proposed, they have limitations when applied to personal health data management.

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