Cooperative Privacy Preservation for Wearable Devices in Hybrid Computing-Based Smart Health

Abstract

Along with an integration of wearable devices, wireless communications and big data in the smart health, biomedical data is collected referring to multiple associated patients during interactions. Due to communication channel openness and data sensibility, privacy preservation become increasingly noteworthy in the edge and cloud hybrid computing-based healthcare applications. In this paper, a cooperative privacy preservation scheme is designed for wearable devices with identity authentication and data access control considerations in the space-aware and time-aware contexts. In the space-aware edge computing mode, secret sharing and MinHash-based authentication is designed to enhance privacy preservation along with similarity computing without revealing sensitive data. In the time-aware cloud computing mode, ciphertext policy attribute-based encryption is applied for fine-grained access control, and bloom filter is used to achieve efficient data structure without privacy exposure. The GNY logic-based security formal analysis is performed to prove theoretical correctness, and the proposed scheme achieves cooperative privacy preservation for wearable devices in smart health with communication overhead and computation cost.