An Efficient Data Concealment Approach Based On Pixel Pair Matching And Encryption Technique

This critical review is to investigate steganographic studies and their methods to either exfiltrate data or defend against data exfiltration. Steganography has one main purpose, to conceal data. Huang’s (2011) method, embedding steganographic data in inactive frames of low-bit rate audio streams went against the norm (Aoki, 2008), (Wu et al., 2006), used active frames of high-bit rate audio streams. Active high-bit rate audio streams have higher least significant bit counts, which presents added frames to conceal steganographic payloads (Huang et al., 2011). Howbeit, Huang (2011) demonstrated a new algorithm he administered to (VOIP) inactive frames of low-bit audio streams, which could carry higher capacity payloads than

Designing and embedding a watermark for VoIP is the main goal of this paper, A new model is introduced and characterized by high robustness, high security and must be non-perceptual. The watermarking model is suitable for real-time service and supports the needs of embedding the watermark into the traffic of VoIP and its extraction additionally this model offers authentication and integrity. The model based on digital watermarking and steganography. Another factor was taken in consideration; the amount of data used and its influence on the voice quality of service.

Steganography is art of hiding the secret message within an ordinary message and extraction of its destination. Steganography take cryptography a step farther by hiding an encrypted message so that no one finds the existence of the message. If anyone scans your data will fail to know that it contain encrypted data. Steganography maintain the secure communication between the communicating parties. There are different techniques that are used for hiding the secret data as Steganography, Cryptography and Watermarking. There are various drawbacks of the cryptography that are covered by the Steganography. This paper reviews the Steganography techniques and various matrices for performance analysis of Steganography techniques.

Image Steganography: In today’s digital world secret messages get embedded in to the digital image which is called as Image Steganography where cover object used is Image . Because of the limited power of the Human vision system this method is most commonly used [5].

Steganography is derived from the greek words stego which is known as cover and grafia which is known as writing which is combinedly known as “covered writing”. It is also defined as the art and science of communication in such a way that it hides the existence of the communication. In contrast to cryptography, steganography hides message inside other harmless message in such a way that the enemy connect detect that there is a hidden message inside the cover message.

The paper proposes data hiding with codeword substitution in encrypted H.264/AVC video streams. Here video is encrypted and data is hided in the video to maintain the security and privacy. In this way data hiding in encrypted domain without decryption preserves confidentiality of the content. By analyzing the property of H.264/AVC codec, the codeword of the intra-prediction modes, the code words of motion vector differences and code words of residual coefficients are encrypted with the stream ciphers. The data hider may embed additional data in the encrypted domain by using code word substitution technique, without knowing original content. Data extraction can be done in encrypted domain or in the decrypted domain.

Steganography is the science of hiding information so that it remains undetected except by its intended receiver. Need of steganography arises when one needs to communicate privately and he cannot risk to arouse the suspicion by sending encrypted message in plain sight.

In [1] the existing system focuses on the data securityapproach when combined with encryption and steganographic techniques for secret communication by hiding it inside the multimedia files. The high results are achieved by providing the security to data before transmitting it over the internet. The files such as images, audio, video contains collection of bits

Steganography is the practice of concealing a file, message, and important information of any format as text, image, audio or video within another file, message, of any format. Steganography is the art of hiding the information in some other host object and it has been used since ancient time by the people. In ancient time, secret information is hidden in the back of wax, scalp of the slaves, in rabbits etc. The word steganography used from the past combines the Greek words steganos, meaning "covered, concealed, or protected", and graphein meaning "writing" [1]

steganography and cryptography are distinctive sorts of strategies utilization to send secure information transmission. Steganography is the craftsmanship and art of concealing information into distinctive bearer records, for example, pictures, features, sound, content and so forth. In cryptography, there is parcel of degree to discover mystery message that we send by outsider

Here we introduce effective data hiding for image annotation, High fidelity is a demanding requirement for data hiding for images with artistic or medical value. This correspondence proposes image watermarking for annotation with robustness to moderate distortion. To achieve the high fidelity of the embedded image, the model is built by mixing the outputs from entropy and a differential localized standard deviation filter. The mixture is then low-pass filtered and normalized to provide a model that produces substantially better perceptual hi-fidelity than existing tools of similar complexity. The model is built by embedding two basic watermarks: a pilot watermark that locate

The reason this scheme was considered remarkable was due to the fact that the secret message could be decoded directly by the human visual system; hence it can be called the visual cryptography scheme. The Decoding process involves printing the shares onto transparencies and superimposing them, the shares of a qualified set will reveal the secret image without any cryptographic computation. In this paper we analyze the basic model of visual cryptography for black and white images and the k out of n scheme. The basic scheme of visual cryptography is called the (2, 2) model otherwise known as the 2 out of 2 model. This model involves using 2 shares; a printed page of cipher text and a printed page of transparency (which serves as the secret key). Both layers appear indistinguishable from random noise. The clear text is revealed by superimposing both shares [2]. The basic model can be extended into the k out of n secret sharing problem which states; given a written message, we can generate n transparencies (shares) such that the original message is visible if any k (or more) are stacked together, but totally invisible if fewer than k transparencies are stacked together. A Visual Cryptographic Scheme is mainly applied to a binary image, which contains a collection of black and white pixels. Each pixel is handled separately and is encoded into p black and white sub pixels, which are printed in close proximity to each other so that the human

Abstract—This paper involves the work done in the field of development of secure and better cryptographic algorithms for digital data like images. The paper presents a technique and its application in binary plane decomposition and two image encryption schemes. One scheme is simple and other provides high security. This proposed work achieves lossless image encryption. The paper has been carried out by dividing into five subsections: i) Introduction, ii) Literature Review iii) Proposed Methodology iv) Simulation Results v) Conclusion.

Two set of text images and one true sample image is taken for cryptography. In this proposed work these three images are encrypted into various shares through MATLAB, so that after compiling specific number of share the original image is visible. After encryption the performance analysis is done with the help of PSNR and MSE values.

ABSTRACT: Digital Watermarking is a technology which is used to identify the owner, distributor of a given image. In recent years, digital watermarking plays a vital role in providing the appropriate solution and various researches have been carried out. In this paper, an extensive review of the literature related to the color image watermarking is presented together with compression by utilizing an assortment of techniques. The proposed method should provide better security while transferring the data or messages from one end to the other end. The main objective of the paper is to hide the message or a secret data into an image which acts as a carrier file having secret data and to transmit to the intention securely. The watermark can be extracted with minimum error. In terms of PSNR, the visual quality of the watermarked image is exceptional. The proposed algorithm is robust to many image attacks and suitable for copyright protection applications.