ISDB: An Effective Ciphertext Retrieval Method for Electronic Health Records Based on SDB

The central component of E-Health is electronic health records, however, the number of electronic records that need to be stored is increasing day by day. The electronic records can be stored with the help of DBaaS in the Cloud. Electronic health records contain a lot of private information, so it is unreasonable to store the plaintext records in the cloud. There will be additional computing costs if using traditional encrypted storage to retrieve all the records in the cloud database and retrieve them after decryption. In order to improve the retrieval efficiency of electronic health records as much as possible while ensuring user privacy, ISDB expands on the model of the secure query model SDB, so that the improved model supports the data types of varchar, date and date time in SQL Encryption. In ISDB, the sting-like types of exact matching function is designed, so that the model can be more effectively used for encrypted storage of electronic health records and ciphertext retrieval. By analysis and experiments, the ISDB can meet the security ciphertext retrieval of commonly used data types in electronic health records, and it is a light model and is effective.