Summary Nowadays, security and data access control are some of the major concerns in the cloud storage unit, especially in the medical field. Therefore, a security‐aware mechanism and ontology‐based data access control (SA‐ODAC) has been developed to improve security and access control in cloud computing. The model proposed in this research work is based on two operational methods, namely, secure awareness technique (SAT) and ontology‐based data access control (ODAC), to improve security and data access control in cloud computing. The SAT technique is developed to provide security for medical data in cloud computing, based on encryption, splitting and adding files, and decryption. The ODAC ontology is launched to control unauthorized persons accessing data from storage and create owner and administrator rules to allow access to data and is proposed to improve security and restrict access to data. To manage the key of the SAT technique, the secret sharing scheme is introduced in the proposed framework. The implementation of the algorithm is performed by MATLAB, and its performance is verified in terms of delay, encryption time, encryption time, and ontology processing time and is compared with role‐based access control (RBAC), context‐aware RBAC and context‐aware task RBAC, and security analysis of advanced encryption standard and data encryption standard. Ultimately, the proposed data access control and security scheme in SA‐ODAC have achieved better performance and outperform the conventional technique.

Ontology is broadly applied in various fields for creating trust‐based data access control models. In the case of the medical field, utilizing ontology is highly recommended for securing the medical report and patient information. Here, ontology is integrated with the grid computing system for achieving better authentication and security in the healthcare system. Various ontology based data access control models are designed by different authors for achieving enhanced user authorization and security. Security is still found to be a major issue in the existing techniques. To overcome this issue, the proposed work developed a medical ontology with three tier secure access control. The proposed method is processed in three layers. In the first layer, job scheduling for user is achieved. Job scheduling is carried out by scheduler using a deadline priority based scheduling algorithm. Users are scheduled with a different job based on their priority level such as low, medium, and high. In the second layer, role based policy is developed for finding and eliminating the accessing of unauthorized users. The third layer is used for securing medical database. Medical database is secured from various through encrypting the data using XOR cryptography algorithm. The proposed architecture is validated using some of the metrics such as turnaround time, tardiness, actual time delay, and throughput. The turnaround time, tardiness, and actual‐time delay attains for the proposed architecture are 64.60, 4.90, and 1.52 seconds, respectively. Then, the throughput value reaches for 25 bits length of encryption is 0.88 Mbps. The simulation analysis reveals that the proposed architecture reduces the waiting time of users and improves medical data security.

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