Efficient Search in Cloud Storage with Reduced Computational Cost Using Token Generation Method over Homomorphic Algorithm

Aim of this paper is to deduce computational cost using a token generation method compared to homomorphic algorithms in cloud storage. Token generation and homomorphic algorithms are compared and the study contains two groups with sample size N=10. Accuracy of each of the methods is compared for different sample sizes with G power value as 0.8. Homomorphic algorithm provides 1.2 times better performance compared to token generation algorithm for various datasets. Results were obtained with statistical significance of two algorithms: sig (2-tailed) with p-value observed is 0.002 (p<0.05) for both accuracy and loss. Homomorphic algorithms give significantly better performance in comparison with Token Generation algorithm.