Security enhancement of the cloud paradigm using a novel optimized crypto mechanism.

Nowadays, medical enterprises are gradually attracted to store their data in the cloud paradigm and distribute the data between the authorized person due to the enormous growth of cloud computing and big data. However, the rapid growth of these systems has faced some crucial challenges such as data privacy and security. Presently, different cryptography techniques are used in a large amount of data processing and storage, but it is not suitable for the security of big data over cloud-based data transmission. Thus, this article presents the novel African Buffalo-based Elapid Crypto Model (AB-ECM) method for monitoring and securing the data while transferring it to the receiver. Here, the large amount of data from the cloud is compressed by the two-stage compression approach. Then, the system's security has been enhanced by the auditing phase; if the secret key of both auditing stages in the sender and receiver is the same, then only the data is decrypted. The execution of this secure process is done in the MATLAB Platform. The simulation consequences of the proposed system have been compared with the conventional methods in terms of confidential rate, data transfer rate, encryption time, resource usage, and decryption time. The comparison shows that the developed model has attained the finest security function over the existing techniques. [ABSTRACT FROM AUTHOR]