A Review on Edge Based Image Steganography

Security of the information has always been the interesting area for researchers. Integrity, Confidentiality, and Authentication are main security principles. There are so many techniques developed to achieve these security principles using cryptography. But all these techniques are unable to keep the communication secret. Although the attacker is unable to access the secret message but he knows about the existence of the message. To overcome this limitation of cryptography a new idea is proposed by researchers that is Steganography. Steganography is the art of concealing secret message in a carrier such as text, image, audio, video and protocol messages. Different Steganography techniques are used based on these carrier messages and way of hiding. The choice of these method is depends on the requirements of application. Some application requires huge data embedding and some require high secrecy. This paper gives a review on image Steganography based on edge detection and their comparative study. It also gives an overview of basic edge detection techniques

A review and open issues of multifarious image steganography techniques in spatial domain

Nowadays, information hiding is becoming a helpful technique and fetch more attention due fast growth of using internet, it is applied for sending secret information by using different techniques. Steganography is one of major important technique in information hiding. Steganography is science of concealing the secure information within a carrier object to provide the secure communication though the internet, so that no one can recognize and detect it’s except the sender & receiver. In steganography, many various carrier formats can be used such as an image, video, protocol, audio. The digital image is most popular used as a carrier file due its frequency on internet. There are many techniques variable for image steganography, each has own strong and weak points. In this study, we conducted a review of image steganography in spatial domain to explore the term image steganography by reviewing, collecting, synthesizing and analyze the challenges of different studies which related to this area published from 2014 to 2017. The aims of this review is provides an overview of image steganography and comparison between approved studies are discussed according to the pixel selection, payload capacity and embedding algorithm to open important research issues in the future works and obtain a robust method

IRIS BIOMETRICS STEGANOGRAPHIC METHOD WITH PIXEL VALUE DIFFERENCING AND HOUGH TRANSFORM FOR HIGHER SECURITY SYSTEM

In biometric security, steganography has become one of the techniques used in defending biometrics data and system. This is due to fraud to the biometric data and illegal activites occured at the biometrics point of system. The biometric data, which in this study, iris, is preprocessed using Hough Transform in producing the iris feature. The pixel values of iris feature is formed, in order to embed the iris feature with the stego key which gained from the cover image (thumbprint from the same trained sample). Studies showed that various techniques of embedding such as least significant bits and pixel value differencing are among popular researches. However, none has been designed for iris implementation in biometrics system. Therefore, a new technique is presented in this paper which integrates pixel value differencing with Hough method in the iris biometrics system. The proposed method modified the pixels values by modifying the most conservative pixels of the block. The theoritical estimation and results produce a scheme which provide a better embedding. The new simulation method provides an embedding capacity, human visual quality and PSNR value is 39.34 dB which is better than the previous methods

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

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