| Abstrakt: |
As cloud computing has developed and gained in popularity, people and businesses have quickly adapted to using cloud services for a variety of purposes. The fundamental driver of this movement is the abundance of advantages offered by cloud services, including their low pricing, high computing power, and online storage capabilities. However, security issues namely, malicious attacks, information loss, and system disasters are affecting the customer satisfaction level. To avoid these security issues, data security and recovery concepts are introduced. Here, the data security is achieved by hybrid cryptography technique and data recovery is achieved by adaptive coati optimization (ACO) algorithm. The presented system consists of four modules namely, (i) Secure file uploading (ii) Replica generation (iii) Data backup, and (iv) Retrieval. At first, we encrypt the medical data using hybrid cipher policy attribute-based encryption. Using this technique we can improve the confidentiality of the medical data. Then, we divide the encrypted medical data into several files and upload the file into the equivalent virtual machine using the ACO algorithm. The replica is then created based on the bandwidth of each file. Then, the user query-based files are backup and retrieved based on replicas. The effectiveness of the presented technique is analysed based on different metrics. |
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