Video steganography has become a popular topic due to the significant growth of video data over the Internet. The performance of any steganography algorithm depends on two factors: embedding efficiency and embedding payload. In this paper, a high embedding payload of video steganography algorithm has been proposed based on the BCH coding. To improve the security of the algorithm, a secret message is first encoded by BCH(n, k, t) coding. Then, it is embedded into the discrete wavelet transform (DWT) coefficients of video frames. As the DWT middle and high frequency regions are considered to be less sensitive data, the secret message is embedded only into the middle and high frequency DWT coefficients. The proposed algorithm is tested under two types of videos that contain slow and fast motion objects. The results of the proposed algorithm are compared to both the Least Significant Bit (LSB) and [1] algorithms. The results demonstrate better performance for the proposed algorithm than for the others. The hiding ratio of the proposed algorithm is approximately 28%, which is evaluated as a high embedding payload with a minimal tradeoff of visual quality. The robustness of the proposed algorithm was tested under various attacks. The results were consistent.

A high payload video steganography algorithm in DWT domain based on BCH codes (15, 11)

Steganography can be defined as the study of invisible communication that usually deals with the ways of hiding the existence of the communicated message. If it is achieved successfully, the message does not attract attention from eavesdroppers and attackers. The main objectives of steganography are undetectability, robustness (resistance to various image processing methods and compression) and capacity of the hidden data. These are the main factors which make it different from other techniques watermarking and cryptography. This paper includes the important steganography methods and the main focus is on the review of steganography in digital images.

Image Steganography: A Review

The central role of the cloud data warehouse is to ensure the security of confidential data that can be achieved via techniques of steganography and cryptography. Amidst the growth of quantum computation, modern data security tools may be cracked because of its structure based on mathematical computations. Quantum walk (QW) acts as a vital role in designing quantum algorithms, which is a universal computational model. Therefore, we allocate the advantages of QWs to design a QWs-based novel image steganography mechanism for cloud systems, which the embedding/extraction process for the secret object is based on quantum concepts. The presented technique has three algorithms of image steganography. The core idea for presenting these algorithms is to embed the sensitive object into the host media without a pre-encryption process for the secret data, which its security and embedding procedures are entirely based on quantum walks. As well opens the door for quantum technologies to be combined with information hiding techniques to achieve better security. The presented technique uses gray-scale or color images as a confidential object to be hidden into the carrier image, as well the embedded object can be any data, e.g. text or audio files and not restricted to image files. Security analysis and experimental results confirm that the suggested algorithms have good visual quality and high-security based on QWs as well high embedding capacity.

Secret images transfer in cloud system based on investigating quantum walks in steganography approaches

Recently, video steganography has become a popular option for a secret data communication. The performance of any steganography algorithm is based on the embedding efficiency, embedding payload, and robustness against attackers. In this paper, we propose a novel video steganography algorithm in the wavelet domain based on the KLT tracking algorithm and BCH codes. The proposed algorithm includes four different phases. First, the secret message is preprocessed, and BCH codes (n, k, t) are applied in order to produce an encoded message. Second, face detection and face tracking algorithms are applied on the cover videos in order to identify the facial regions of interest. Third, the process of embedding the encoded message into the high and middle frequency wavelet coefficients of all facial regions is performed. Forth, the process of extracting the secret message from the high and middle frequency wavelet coefficients for each RGB components of all facial regions is accomplished. Experimental results of the proposed video steganography algorithm have demonstrated a high embedding efficiency and a high embedding payload.

A novel video steganography algorithm in the wavelet domain based on the KLT tracking algorithm and BCH codes

Received: 7 March 2019 Accepted: 26 May 2019 Digital image watermarking is a technique adopted to get rid of the increasing piracies in digital images. Computerized information can be effectively duplicated, altered and falsifications be made by anybody having a PC. Most inclined to such vindictive assaults are the watermarked pictures distributed in the Internet. Advanced Watermarking can be utilized as a device for finding unapproved information reuse and furthermore for copyright security. In the existing method, texturization dependant image watermarking methodology is performed which involves the embedding and extraction of a logo image to and from an original image respectively. After finding out the texture regions of host image, the logo image is embedded into the identified texture regions by Discrete Wavelet Transform. Before embedding, according to the textual characteristics of the host image analyzed, texturization of a logo is done by using Arnold transform and a rotation. It is effective for attaining a similar texture for both logo image and host image. Later the logo image is extracted back. Discrete Wavelet Transform results in degradation of quality and robustness of watermarked image. Also it is not a difficult task for an attacker to compromise the Arnold transform and rotation performed. In this work, Lifting Wavelet Transform technique is used instead of the Discrete Wavelet Transform as it overcome the above mentioned drawback. In addition, Arnold transform and rotation is replaced with circular shift method for enhancing security.

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Image Transformation Technique Using Steganography Methods Using LWT Technique

Steganography, the secret image is embedded in the cover image and transmitted in such a way that the existence of information is undetectable. The digital images, videos, sound files and other computer files can be used as carrier to embed the information. In this paper, we propose a modified secure and high capacity based steganography scheme of hiding a large-size secret image into a small-size cover image. Arnold transformation is performed to scrambles the secret image. Discrete Wavelet Transform (DWT) is performed in both images and followed by Alpha blending operation. Then the Inverse Discrete Wavelet Transformation (IDWT) is applied to get the stego image. We have investigated the performance of our scheme by comparing various qualities of the stego image and cover image. The results show that the proposed algorithm for modified steganography is highly secured with certain strength in addition to good perceptual invisibility.

R Bhavani.

Papers

A modified secure digital image steganography based on Discrete Wavelet Transform