Modification of Select Operation Model for Multilevel Security: Medical Database Systems as an Application

Information security (IS) is essential and important in different application fields. Medical databases (MD) and healthcare applications (HA) are not an exception; information security plays a prominent role in the protection of patient data by encryption. Securing the privacy of patients is an imperative challenge. MD and HA adopted encryption as a technique to secure the data, especially for patients with disabilities. Previous research works in the field of data security reported the application of a new select operation model in the encryption-based on multilevel security approach to multilevel database; these models enhanced the security level (SL) of databases due to the encryption based on multilevel security (MLS) but their performance is not as efficient in medical database management systems (DBMS) due to the huge size of records and several decryption operations needed. The original select model becomes very inefficient when the number of records (size of data) becomes large. In this paper, we modify the select operation model in multilevel database to enhance its performance, when the encrypted data is retrieved. Nevertheless, the obtained results in this paper show that the proposed modifications give better performance as compared with results obtained from the original model.