Secure Text embedding using hybrid encryption algorithms

Abstract

Data and information Security in this modern world of digital communication are dominant looking at the rapid growing priory and dependency for interchanging confidential information across data networks. This paper emphasized to look into this and come up with an enhancement of image Steganoraphy approach known as Most Significant Bit (MSB) using Secure Text embedding (STE). This research comprises of advance encryption System and Blow-fish algorithm to protect cover image and embed encryption Keys within Stego-image as Key images to improves the security of encrypted data by applying a robust pixel random function. In this respect a greater complexity is introduced without impacting the execution time significantly. The results of experiment indicate that this method’s security is far better compared to other steganographic techniques, good distortion measurement computed having Mean Square error of 0.00043 and Peak Signal to noise ratio of 90.27 values guaranteeing excellent quality of image, very short Run time of 0.52ms for encryption and 0.90ms for decryption, which is correlated to security. Additional evaluations indicate the robustness of the proposed method making it the right solution for protected information concealment in digital images.