Data Hiding using Cascading Feed Forward Network Prime Number Edge based Steganography

Steganography is one of the vital and popular techniques to protect the sensitive data from an unauthorized person or from third party. Now a day’s providing security for data is one of the vital concepts. Due to this growing need for security of message, image steganograpghy is become popular. The traditional steganography algorithms consists of Least Significant Bit embedding, but this technique known to everyone and easily detected by third party or hackers. In this Least Significant Bit embedding technique many of the algorithms are embed the secret data in sequential form. Instead of this if the data can be embedded in random pixels it leads to provide a better security. So in this a paper we present a novel approach to embed data in the prime number based edge pixels of the image by extending various least significant bit embedding algorithms. This prime numbers are also trained with Artificial Neural Networks in order to get actual pixels values for embedding secured data. This algorithm ensures better results against providing security for data when compared to other popular existing algorithms.