Reducing the Communication Overhead in Novel Data Sharing Algorithm in Cloud Data Storage Over Triple Data Encryption Standard Algorithm
K. Kalyani, S. John Justin Thangaraj · 2024
While storing data in the cloud using the Triple Data Encryption Standard Algorithm, we can cut down on communication overhead by using the Novel Data Sharing Algorithm. In order to test the algorithms, we import the data and then run Triple DES and Novel Data Sharing. There are two sets of algorithms, with 240 and 120 samples total. It is maintained that the G-power for Independent T-Test samples is 80%, the threshold is less than 0.05%, and the confidence interval is 95%. Result of the work is done by the IBM SPSS software. Research shows that the Novel Data Sharing Algorithm's communication overhead differs from the state-of-the-art by 83.5% to 81.5%. More exact than the value is the Triple DES Algorithm. The independent sample T-Test was employed to ascertain the mean, standard deviation, and standard error. Statistical significance between groups. The value of p, which is greater than 0.05, is 0.003. In terms of statistical significance, the two algorithms are identical. The results show that compared to the Data Encryption Standard, the Novel Data Sharing Algorithm performed better in this investigation.