Enhancement of security for cloud data using partition-based steganography

Abstract

Data security is a major issue in computer science and information technology. In the cloud computing environment, it is a serious issue because data is located in different places. In the cloud, environment data is maintained by the third party so it is harder to maintain security for user’s data. There is a prominent need for security for cloud data, so we proposed an approach which provides better results as compared to previous approaches. In this work, we tried to secure the data by using image steganography partition random edge-based technique. In the next step, partition the original image into a number of parts, apply edge-based algorithms, select random pixels (prime number-based pixels) from each part, and insert the data into them. The performance of this proposed analysis is calculated by using MSE and PSNR values. Results are good as compared to several existing edge-based algorithms of image steganography.