Enhancing LSB embedding schemes using chaotic maps systems

In our modern life, persons and institutions alike are rapidly embracing the shift toward communication via the Internet. As these entities adopt a faster and efficient communication protocol, information security techniques such as steganography and cryptography become powerful and necessary tools for conducting secure and secrecy communications. Currently, several steganography techniques have been developed, and the least significant bit (LSB) is one of these techniques which is a popular type of steganographic algorithms in the spatial domain. Indeed, as any other existing techniques, the selection of positions for data embedding within a cover signal mainly depends on a pseudorandom number generator without considering the relationship between the LSBs of the cover signal and the embedded data. In this paper and for best pixels’ positions adjustment, in which the visual distortion of the stego-image, as well as the embedding changes, becomes optimum, we propose two new position selection scenarios of LSBs-based steganography. Our new works are to improve the embedding efficiency, that is to say, select the suitable cover image pixels’ values that optimize the expected number of modifications per pixel and the visual distortion.