Efficient Search in Cloud Storage with Reduced Computational Cost using Token Generation Method over Crypto Hash Algorithm

Abstract

To deduce computational cost using a token generation method comparing Crypto hash algorithms in cloud storage. Materials & methodology: In this proficiency, all the collections are transferred by encryption format in video mode and data are collected by user with face detection video mode. User in turn accepts which is requested by face detection video mode. Study contains two groups with N=10 for each group. Accurateness of individual methods arelikened for various sample sizes with G power value as 0.8. Results: Homomorphic algorithm provides 1.2 times higher compared to token generation Technique for several datasets. Results were attained with the statistical significance of two algorithms: sig (2-tailed) p-value observed is 0.0001 (p<0.05) in the independent sample t test. Conclusion: Moreover, concrete schemes are cost-efficient and proved to be more secured in the standard model. Comparison and framework simulation proves that this strategy has very good performance superior to other strategies.