EAPDS: Efficient Auditable and Privacy-Preservation Data-Sharing Scheme Based on Attribute-Based Encryption for IoMT

Data-sharing schemes based on the Internet of Medical Things (IoMT) have emerged as a more convenient way to monitor and manage individuals' health. However, this scenario faces challenges, such as privacy preservation, effectiveness, and practicality, which hinder its further development. To the best of our knowledge, there is no agreed-upon data-sharing method that addresses all of these problems. In this article, we make a step ahead by designing an efficient and auditable privacy-preservation data-sharing scheme (EAPDS) based on multiauthority attribute-based encryption (ABE). EAPDS designs an auditable anonymous authentication mechanism to realize identity privacy protection, as well as an efficient multiauthority ABE mechanism to achieve the efficiency and practicability of data sharing. Formal security analysis demonstrates EAPDS can resist replayable chosen-ciphertext attack. Many performance evaluation experiments and functional analyses show that EAPDS not only performs better than existing medical data-sharing schemes in terms of efficiency but also in terms of privacy protection and feasibility. Consequently, our EAPDS scheme holds promising application prospects.