Using Artificial Intelligence Approaches for Image Steganography: A Review

Security of confidential information has been always an important issue. It has always been an interesting topic for researchers to develop secure techniques to send and receive data without revealing it to anyone rather than the receiver. Researchers are working every day to achieve a high level of security and consistency for their data during its transmission over the network. Cryptography is a way used to encrypt the data during its transmission so that when there is any attack, the message seen is not the real message, as it is encrypted. On the other hand, Steganography is a method of hiding secret messages in a cover object (image, audio, video, text) while communication takes place between sender and receiver. Steganography is often used with cryptography so that the information is doubly protected; First, it is encrypted and then hidden so that the attacker has to first detect the presence of information that is already hidden (a difficult task) and then decrypt it. In this paper, we will discuss different artificial intelligence techniques used to achieve maximum information hidden and high quality of image as the low quality is a sign of distortion which means that there is something hidden.