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

• DOI: 10.4018/ijwsr.331388
• Publication Date: 2023-10-05T16:40:52Z
• Authors: Zhuolin Mei; Jing Yu; Jinzhou Huang; Bin Wu; Zhiqiang Zhao; Caicai Zhang; Jiaoli Shi; Xiancheng Wang; Zongda Wu
• Keywords: Bloom filter; Wearable Technology; Cloud storage

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