Study of Reversible Scheme for Data Hiding

Web is the prominent correspondence media now a days yet message exchange over the web is confronting a few issue, for example, copyright control, information security, information, confirmation and so forth. Information stowing away assumes a critical part in information security. It is a procedure in which mystery information or data is put away or covered up into cover media. Thus many explores are advancing on the field like web security, steganography, and cryptography. At the point when exchange the safe or private information over a shaky channel it is expected to encode cover or unique information and after that insert the protected information into that unique or, on the other hand cover picture

Randomized Symmetric Crypto Spatial Fusion Steganographic System

The image fusion steganographic system embeds encrypted messages in decomposed multimedia carriers using a pseudorandom generator but it fails to evaluate the contents of the cover image. This results in the secret data being embedded in smooth regions, which leads to visible distortion that affects the imperceptibility and confidentiality. To solve this issue, as well as to improve the quality and robustness of the system, the Randomized Symmetric Crypto Spatial Fusion Steganography System is proposed in this study. It comprises three-subsystem bitwise encryption, spatial fusion, and bitwise embedding. First, bitwise encryption encrypts the message using bitwise operation to improve the confidentiality. Then, spatial fusion decomposes and evaluates the region of embedding on the basis of sharp intensity and capacity. This restricts the visibility of distortion and provides a high embedding capacity. Finally, the bitwise embedding system embeds the encrypted message through differencing the pixels in the region by 1, checking even or odd options and not equal to zero constraints. This reduces the modification rate to avoid distortion. The proposed heuristic algorithm is implemented in the blue channel, to which the human visual system is less sensitive. It was tested using standard IST natural images with steganalysis algorithms and resulted in better quality, imperceptibility, embedding capacity and invulnerability to various attacks compared to other steganographic systems

Video Steganography Techniques: A Survey

In digital world, information security is the major issue in digital communication on a network from the third party hackers. Steganography techniques play an important role in information security. These are the secure techniques, used for concealing existence of secret information in any digital cover object viz. image, audio, video files. In last several decades, significant researches have been done on video and image steganography techniques because data embedding and data extraction is very simple. However, many researchers also take the audio file as a cover object where robustness and undetectability of information is very difficult task. The main objective of steganography is hiding the existence of the embedded data in any digital cover object. Steganography technique must be robust against the various image-processing attacks. Nowadays, video files are more accepted because of large size and memory requirements. This paper intends to provide a survey on video techniques and provide the fundamental concept of the steganography and their uses

A New Hybrid Embedding Method in Iris Biometric System

The challenging part in achieving high security biometrics data is viewed from the engineering perspective which includes security, accuracy, speeds and application size. The objective of this paper is to increase the accuracy through an embedding technique. A combination of modified pixel value differencing and wavelet decomposition techniques were used in this study. The pixels were scanned in a new direction embedded with the wavelet difference matrix. The system is developed using both eyes and each eye is enrolled with 10 snaps. The embedding process creates the embedded iris feature and the reverse process of embedding is known as de-embedding. Two thousands iris from CASIA database are used. The application is developed using MATLAB and executed for 5-20 iterations. The new hybrid system shows better performance in accuracy in terms of False Acceptance Rate (FAR), embedding capacity and Peak Signal to Noise Ratio (PSNR) values as benchmarked with the existing method. The finding shows that the output of the embedding capacity is 743801 and 41.10dB of PSNR. The good PSNR value is between 40-50 dB. The implication of this study contributes to a higher accuracy in iris biometric security. Future work should focus on the genetic algorithm to recognize human iris in biometric system

Digital Rights Management: Improving Online Digital Images Copy Rights Management through an Enhanced Least Significant Bit Steganographic Algorithm

Digital media no doubt presents numerous advantages compared to the traditional analog media. Of the most importance is the fact that digital content (images, graphics, audio and video) can be easily copied, transmitted, retrieved and distributed over private and open access networks. The global availability of the internet- certainly the most impactful information exchange tool today- plus the numerous file sharing tools freely available have made the distribution of copyrighted digital media files simple and straightforward. Duplication of exact copies of original images, for example can be easily done and circulated without authentication. As much as this is an advantage in trying to enhance sharing of information, it certainly creates problems of ownership and authenticity and digital rights protection. There already exists copyright laws that provide for protection of all online content but the task of continuously guarding the web and correctly identifying those that infringe against these laws is increasingly becoming enormous. There is therefore need to continuously invest in development of new technologies and algorithms that will make it more and more difficult to illegally copy or use someone else content. To improve security of copyrighted online digital images, this paper proposes the use of an enhanced LSB steganographic algorithm that employs a selective and randomized approach in picking specific number of target image bits to swap with the owners signature authentication bits using a pseudo random number generator (PRNG). The carefully selected password seed is used to determine the set of selected numbers used for targeting specific image bits for the signature hiding. An experimental design is setup to determine the effectiveness of the method by comparing and analyzing the stego images’ statistical characteristics and the ability of steganalysis methods to detect the hidden signature. The experimental results indicate improved levels of imperceptibility and hence improved security against illegal copying. Keywords: Digital Media, Steganography, Copyright, Steganalysis, Stego image, imperceptibilit

Performance evaluation measurement of image steganography techniques with analysis of LSB based on variation image formats

Recently, Steganography is an outstanding research area which used for data protection from unauthorized access. Steganography is defined as the art and science of covert information in plain sight in various media sources such as text, images, audio, video, network channel etc. so, as to not stimulate any suspicion; while steganalysis is the science of attacking the steganographic system to reveal the secret message. This research clarifies the diverse showing the evaluation factors based on image steganographic algorithms. The effectiveness of a steganographic is rated to three main parameters, payload capacity, image quality measure and security measure. This study is focused on image steganographic which is most popular in in steganographic branches. Generally, the Least significant bit is major efficient approach utilized to embed the secret message. In addition, this paper has more detail knowledge based on Least significant bit LSB within various Images formats. All metrics are illustrated in this study with arithmetical equations while some important trends are discussed also at the end of the paper

An enhanced Least Significant Bit Steganographic Method for Information Hiding

The least significant bit (LSB) insertion method is a simple steganographic algorithm that takes the least significant bit in some bytes of the cover medium and swaps them with a sequence of bytes containing the secret data in order to conceal the information in the cover medium. However its imperceptibility and hiding capacity are relatively low. This is as revealed by the statistical characteristics of its resultant stego images compared to the original cover images. To increase the level of imperceptibility and the hiding capacity in the LSB insertion method, this research proposes an enhanced LSB method that employs a selective and randomized approach in picking specific number of target image bits to swap with the secret data bits during the embedding process. To facilitate the selective picking of the target image bits, the standard minimal linear congruential number generator (LCG) is used. The message digest (digital signature) of a user supplied password is used to seed the LCG and to extract the message from the cover medium. In measuring the effectiveness of the proposed method, the study adopted an experimental research design where the statistical characteristics of the proposed method stego images were compared with those of the traditional LSB method in a comparative experiment designed to establish the levels of image distortion (noise) introduced in the original cover image when either of the methods is used under the same payload and image. The experiment results indicated improved levels of imperceptibility and hiding capacity in the proposed method. Key Words: Steganography, Steganalysis, Stego image, payload, imperceptibilit