So far, various components of image characteristics have been used for steganalysis, including the histogram characteristic function, adjacent colors distribution, and sample pair analysis. However, some certain steganography methods have been proposed that can thwart some analysis approaches through managing the embedding patterns. In this regard, the present paper is intended to introduce a n...

Data hiding is the process of embedding data into a media form such as image, voice, and video. The Lest Significant Bit (LSB) is consider as the most widely used embedding technique. LSB embeds the secret message's bits into the least significant bit plane of the image in a sequentially manner . The LSB is simple, but it poses some critical issues. The secret message is easily detected and att...

Steganalysis of least significant bit (LSB) embedded images in spatial domain has been investigated extensively over the past decade and most well-known LSB steganography methods have been shown to be detectable. However, according to the latest findings in the area, two major issues of very low-rate (VLR) embedding and content-adaptive steganography have remained hard to resolve. The problem o...

The Least Significant Bit (LSB) substitution is an old and simple data hiding method that could almost effortlessly be implemented in spatial or transform domain over any digital media. This method can be attacked by several steganalysis methods, because it detectably changes statistical and perceptual characteristics of the cover signal. A typical method for steganalysis of the LSB substitutio...

The advantages of Least-Significant-Bit (LSB) steganographic data embedding are that it is simple to understand, easy to implement, and it results in stego-images that contain hidden data yet appear to be of high visual fidelity. However, it can be shown that under certain conditions, LSB embedding is not secure at all. The fatal drawback of LSB embedding is the existence of detectable artifact...

In image steganography, a pixel can carry secret bits by choosing adding/subtracting one to/from the gray value. This kind of “ 1 steganography” can hide a longer message than simple LSB embedding. We propose a double-layered embedding method for implementing “ 1 steganography,” in which binary covering codes and wet paper codes are used to hide messages in the LSB plane and the second LSB plan...

In this paper we present an LSB steganalysis technique that can detect the existence of hidden messages that are randomly embedded in the least significant bits of natural continuous-tone images. The technique is inspired by recent work of Fridrich et al. [1] and just like [1], it can also precisely measure the length of the embedded message, even when the hidden message is very short relative ...

In this paper, we propose a new method of non-adaptive LSB steganography in still images to improve the embedding efficiency from 2 to 8/3 random bits per one embedding change even for the embedding rate of 1 bit per pixel. The method takes 2-bits of the secret message at a time and compares them to the LSBs of the two chosen pixel values for embedding, it always assumes a single mismatch betwe...

: Steganography is an art and science of writing hidden messages in such a way that no one apart from the intended recipient knows the existence of the message.The maximum number of bits that can be used for LSB audio steganography without causing noticeable perceptual distortion to the host audio signal is 4 LSBs, if 16 bits per sample audio sequences are used.We propose two novel approaches o...

In this paper, we present a novel method to embedding secret message in the cover-image. The basic concept of the proposed method is by simple Least Significant Bit (LSB) substitution. We propose a steganography method that applies a technique to embedding a wavelet compressed secret message within the Least Significant Bit (LSB) of the cover image pixels in a specific pattern. The proposed met...