Comparing and protecting data privacy and security of Novel Shamir’s secret sharing algorithm over Blowfish algorithm for cloud computing based on secret sharing mechanism

The main goal of research is to compare and improve the privacy and security of data using Novel Shamir’s Secret Sharing Algorithm (SSS) over a Blowfish Algorithm and secret sharing techniques (BA). The G power software is used to figure out the sample size, which is 10 per group if the pretest power is 80%, the threshold is 0.05, and the CI is 95%. SSS provides a higher accuracy of 90.70% compared to BA algorithm with 82.30% in predicting accuracy for classifyin g and protecting data privacy and security. There is an insignificant difference between two groups with significance value of 1.00 (p>0.05). SSS algorithm provides more security in data sharing better than BA algorithm.