Abstract
The art of information hiding has been around nearly as long as the need for covert communication. Steganography, the concealing of information, arose early on as an extremely useful method for covert information transmission. Steganography is the art of hiding secret message within a larger image or message such that the hidden message or an image is undetectable; this is in contrast to cryptography, where the existence of the message itself is not disguised, but the content is obscure. The goal of a steganographic method is to minimize the visually apparent and statistical differences between the cover data and a steganogram while maximizing the size of the payload. Current digital image steganography presents the challenge of hiding message in a digital image in a way that is robust to image manipulation and attack. This paper explains about how a secret message can be hidden into an image using least significant bit insertion method along with chaos.
Highlights
Chaos word has been derived from the Greek, which refers to unpredictability and it is defined as a study of nonlinear dynamic system
Chaos is suitable for steganography, as it is closely related to some dynamics of its own characteristics
The paper [5] presents a large capacity of steganography algorithm, and it can embed the secret image adaptively into the still image based on chaotic mapping and human visual characteristics
Summary
Chaos word has been derived from the Greek, which refers to unpredictability and it is defined as a study of nonlinear dynamic system. Chaotic behavior can arise from very simple non-linear dynamical equations It is a 2D map; it has two initial conditions. In paper [2], authors have focused on the developing the techniques that can help hiding messages on the basis of random numbers logic They have concentrated upon using Least Significant Bit conversion but is not limited to it. A steganography method is proposed in paper [4] to embed information within an encrypted image data randomly. The paper [5] presents a large capacity of steganography algorithm, and it can embed the secret image adaptively into the still image based on chaotic mapping and human visual characteristics. Simulation results show that it has high capacity, a good invisibility, and that it is robust for the common image processing like JPEG compression, cropping etc
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