Secure and controllable cloud-edge collaborative data sharing scheme for wireless body area networks in IIoT

Jiasheng Chen, Miao Wang, Zhenfu Cao, Xiaolei Dong, Liwang Sun

Abstract: Wireless body area networks collect electronic health records (EHRs) in real-time through sensors and use mobile IoT devices for data transmission and processing, promoting telemedicine monitoring and personalized health management. With the large-scale deployment of mobile medical devices, attribute-based proxy re-encryption (ABPRE) has been widely adopted to achieve fine-grained access control over encrypted EHRs. However, existing ABPRE schemes face high communication delay when processing large amounts of edge data under traditional cloud sharing architecture. There are also security, flexibility, and efficiency challenges in multi-user collaborative scenarios. In this paper, we propose a secure and controllable cloud–edge collaborative data sharing (SCCE-DS) scheme, which ensures that data users can join dynamically by supporting fine-grained access control and flexible ciphertext sharing. Meanwhile, we introduce edge computing to accelerate user request responses and reduce the computing burden of cloud servers. To further improve efficiency, we design an online/offline mechanism and outsource some decryption operations to the cloud server, which significantly improved the encryption and decryption efficiency of online shared data. Formal security analysis proves that SCCE-DS has chosen plaintext attack security and can resist collusion attacks and denial of service attacks. Performance evaluation demonstrates that SCCE-DS has significant advantages in encryption and decryption efficiency and communication delay compared with traditional schemes, indicating that it has strong practical application potential in mobile healthcare systems.