A Novel Method for Secured Transaction of Images and Text on Cloud

Abstract

Implementation of privacy preservation of data on cloud storage is tedious and complex. Cloud is a third party ondemand service to hold data for a specific period. There is no assurance from the cloud storage providers about the security of data. It is necessary to provide some security to data. Cryptographic algorithms are required to provide security to the data on cloud. The aim of the research is to develop a method which combines Artificial Neural Network and Three fish algorithm for the secured transaction of images. Images are large in size and more sensitive comparing to normal text. The proposed method provides security to image with low computation cost comparing to existing methods. The research is implemented in privacy and public clouds. The generated results prove the proposed research is more efficient in terms of compression ratio, mean square error, normalized absolute error, time, and space efficiency.