RLWE-based Privacy-Preserving Data Sharing Scheme for Internet of Medical Things System
Jinqi Wang, Lei Liu · 2022
Internet of Medical Things (IoMT) system is a collection of devices and software which are applied in medical care domains. In a IoMT system, patients and doctors conduct remote diagnosis and treatment through a health data sharing scheme. These data sharing schemes faces privacy challenges if the medical information gets leaked. However, the existing privacy-preserving data sharing schemes usually use classical encryption/signature algorithm, which will turn to be not secure under the development of quantum computer. In this paper, we propose a privacy-preserving data sharing scheme using lattice-based cryptography, the ring learning with errors (RLWE) cryptography. Our scheme integrates both quantum-resistant encryption and digital signature algorithm based on RLWE, in order to realize the resistance to quantum attack for the whole life cycle of data. In addition, the performance evaluation shows that the proposed scheme gets 75.7% higher efficiency than the existing schemes.