Homomorphic Encryption for Solving Security Issues in Cloud Computing

Abstract

Even with so many cryptographies present, homomorphic encryption has attracted wide attention from various scholars of this field due to its special and optimized performance. This lies down to the fact that the common cryptography methods cannot perform computations on encrypted data, and homomorphic encryption can. Also, homomorphic encryption provides automatically encrypted operation results. Since data breach is the biggest threat in the field of cloud computing, homomorphic encryption has a wide and very useful application in data security in a cloud environment. The main aim of this paper is to give an outline of the current security threats in the field of cloud computing and also throw light on the findings of homomorphic encryption, which include functional computations with operations such as addition, multiplication and then study them for the security of the cloud. The results produced only selected features vital for the prediction of cancer. Also, its performance has been paralleled against other factors such as Accuracy, Precision, Recall and Specificity, and Fmeasure. The experimental results show that the Decision Tree classifier outperforms all other classifiers with an accuracy of 94.7 % increased to 97% after Cuckoo Optimization