Neural Based Compression, Crypt and Steganography

Steganography is the art of hiding information inside a multimedia block. Data hiding can be done in different medias like text, image and audio signals. It is very difficult for the hakers to find whether the media has any valid data or not. In this paper with the help of neural network algorithm, the data is firstly encrypted and then is placed in a cover image. this algorithm also causes a compression action on data and so the volume of information which can be put in a cover image increases. our method makes lots of difficulties for hackers and accession to information by attacking to the image happens scarely because we have combined compression, cryptography and steganography. The present neural model is a multi layer feed forward network and in an inverse process, the changed data is retrieved.

کلیدواژه ها:

Cover Image ، Cryptography ، Information ، LSB ، Neural Network