Enhanced Public-Key Searchable Encryption Scheme for Cloud-Based EHR Systems
Xiangqian Kong, Lanxiang Chen · 2023
Due to the swift development of cloud computing technology, an increasing number of healthcare organizations tend to store electronic health records (EHR) on cloud storage servers. To ensure patient privacy, sensitive information within EHR data must undergo encryption prior to being uploaded to the cloud server. Nonetheless, this encryption process alters the data's original structural characteristics, presenting a significant challenge in achieving effective and flexible EHR utilization, such as plaintext keyword search. Considering the privacy and practicality of EHR. This paper introduces a new cloud-based EHR system that integrates public-key encryption with the keyword search (PEKS) scheme. This system enables authorized users to conduct searches for specific keywords on encrypted EHR data, all while maintaining the highest level of data security. Compared to existing PEKS-based EHR system solutions, our approach is not limited by a secure channel, reducing communication overhead while taking full advantage of the large storage space and high computational performance of the cloud server to realize flexible and effective search capabilities. Furthermore, our solution effectively prevents online keyword guessing attacks from outside adversaries.