Simple least-significant-bit (LSB) substitution is a method used to embed secret data in least significant bits of pixels in a host image. The LSB approaches typically achieve high capacity. A simple LSB substitution, which hides secret data directly into LSBs, is easily implemented but will result in bad quality of the stego-image. In order to reduce the degradation of the host image after emb...

This paper introduces a new, principled approach to detecting LSB steganography in digital signals such as images and audio. It is shown that the length of hidden message embedded in the least significant bits of signal samples can be estimated with relatively high precision. The new steganalytic approach is based on some statistical measures of sample pairs that are highly sensitive to LSB emb...

Video Steganography deals with hiding secret data or information within a video. In this paper, a spatial domain technique for LSB Matching Revisited algorithm (LSBMR) has been proposed, where the secret information is embedded in the cover frames. LSB Matching Revisited(LSBMR) algorithm selects the embedding regions according to the size of secret message and the difference between two consecu...

A steganographic method called adjacent bin mapping (ABM) is presented. Firstly, it is applied to 3D geometries by mapping the coordinates within two adjacent bins for data embedding. When applied to digital images, it becomes a kind of LSB hiding, namely the LSB algorithm. In order to prevent the detection using a metric named histogram tail, the hiding is performed in a pseudorandom order. Th...

This paper considers the detection of spatial domain least significant bit (LSB) matching steganography in gray images. Natural images hold some inherent properties, such as histogram, dependence between neighboring pixels, and dependence among pixels that are not adjacent to each other. These properties are likely to be disturbed by LSB matching. Firstly, histogram will become smoother after L...

This paper presents a novel method for detection of LSB matching steganography in grayscale images. This method is based on the analysis of the differences between neighboring pixels before and after random data embedding. In natural images, there is a strong correlation between adjacent pixels. This correlation is disturbed by LSB matching generating new types of correlations. The presented me...

This paper presents a novel 2-3-3 LSB insertion method. The image steganography takes the advantage of human eye limitation. It uses color image as cover media for embedding secret message.The important quality of a steganographic system is to be less distortive while increasing the size of the secret message. In this paper a method is proposed to embed a color secret image into a color cover i...

Through dynamic compensation of pixel values of the LSB (Least Significant Bit) embedded image, this paper presents a novel LSB information hiding method against pixels Sample Pairs Steganalysis (SPA), a powerful steganalysis method proposed by Dumitrescu et al. with high precision. This approach embeds messages in the LSB plane of the carrier image randomly via a chaotic system, then makes a d...

The least significant bit (LSB) embedding method is one of the most commonly used techniques; it targets the LSB's of the host image to hide the data. This paper deals with three main steganography challenges (i.e. capacity, imperceptibility, and security). This is achieved by hybrid data hiding scheme incorporates LSB technique with a key-permutation method. The paper also proposes an optimal ...

Steganography is an ancient art o r conveying messages in a secret way thal only Ihe receiver knows the existence of a message. So a fundamental requirement for a steganographic method is imperceptibility; this means that the embedded messages should not bc discernible to the human eye. There are two other requirements, one is to maximise the embedding capacity, and the other is security. Thc l...