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