Steganography is the technique of hiding the fact that communication is taking place, by hiding data in other data. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exist a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. Steganalysis, the detection of this hidden information, is an inherently difficult problem and requires a thorough investigation so we are using "Edge detection Filter". In this paper search how the edges of the images can be used to hiding text message in Steganography .It give the depth view of image steganography and Edge detection Filter techniques. Method: In this paper search how the edges of the images can be used to hiding text message in Steganography. For that gray image has been presented. In this method tried to find binary value of each character of text message and then in the next stage, tried to find dark places of gray image (black) by converting the original image to binary image for labeling each object of image by considering on 8 pixel connectivity. Then these images have been converted to RGB image in order to find dark places. Because in this way each sequence of gray color turns into RGB color and dark level of grey image is found by this way if the Gary image is very light the histogram must be changed manually to find just dark places. In the final stage each 8 pixels of dark places has been considered as a byte and binary value of each character has been put in low bit of each byte that was created manually by dark places pixels for increasing security of the main way of least Significant bit steganography. Steganalysis then used to evaluate the hiding process to ensure the data can be hidden in best possible way.

Image Steganography Using LSB and Edge - Detection Technique

This paper proposes an improved LSB(least Significant bit) based Steganography technique for images imparting better information security .It presents an embedding algorithm for hiding encrypted messages in nonadjacent and random pixel locations in edges and smooth areas of images. It first encrypts the secret message, and detects edges in the cover-image using improved edge detection filter. Message bits are then, embedded in the least significant byte of randomly selected edge area pixels and 1-3-4 LSBs of red, green, blue components respectively across randomly selected pixels across smooth area of image. It ensures that the eavesdroppers will not have any suspicion that message bits are hidden in the image and standard steganography detection methods can not estimate the length of the secret message correctly. The Proposed approach is better in PSNR value and Capacity as shown experimentally than existing techniques.

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An Improved LSB Based Steganography Technique for RGB Color Images

— In this work we propose a novel Steganographic method for hiding information within the spatial domain of the gray scale image The proposed approach works by dividing the cover into blocks of equal sizes and then embeds the message in the edge of the block depending on the number of ones in left four bits of the pixel The proposed approach is tested on a database consists of 100 different images Experimental results, compared with other methods, showed that the proposed approach hide more large information and gave a good visual quality stego-image that can be seen by human eyes Keywords — Data Embedding, Cryptography, Watermarking, Steganography, Least Significant Bit, Information Hiding I INTRODUCTION ATA hiding became an important field as the use of the Internet became popular Data hiding is a young field and it is growing in an exponential rate [1],[2] Steganography is used to hide information inside other As derived from Greek, the word steganography literally means “Covered Writing” Steganography is the art and science of communicating in a way, which hides the existence of the communication, or it is the art of hiding information in ways that prevent the detection of hidden messages [3] The main purpose of steganography is to hide a message in another one in a way that prevents any attacker to detect or notice the hidden message The aim of this work is to develop a new method for hiding message in gray-scale images, mainly embedding text data in digital images In this work we present an efficient Steganographic approach for hiding information within a gray scale image We have compared the new method with two well-known methods, PVD and GLM methods Our results show the effectiveness of the proposed method compared with the other methods The rest of this paper is organized as follows Section 2 introduces some important issues of Steganography and Data Hiding Methods Section 3 discuses related work in the field of data hiding Methods and materials are discussed in Section 4 Section 5 introduces the experimental results of the proposed method Conclusions and future work are presented in section 6

A Novel Steganographic Method for Gray-Level Images

— Steganography, derived from Greek, literally means “covered writing”. It includes a vast array of secret communications methods that conceal the message’s very existence. These methods include invisible inks, microdots, character arrangement, digital signatures, covert channels, and spread spectrum communications. This paper proposes a new improved version of Least Significant Bit (LSB) method. The approach proposed is simple for implementation when compared to Pixel value Differencing (PVD) method and yet achieves a High embedding capacity and imperceptibility. The proposed method can also be applied to 24 bit color images and achieve embedding capacity much higher than PVD. Keywords — Information Hiding, LSB Matching, PVD Steganography. I. I NTRODUCTION NFORMATION hiding techniques have been receiving much attention today. The main motivation for this is largely due to fear of encryption services getting outlawed [14], and copyright owners who want to track confidential and intellectual property copyright against unauthorized access and use in digital materials such as music, film, book and software through the use of digital watermarks. Encryption and Decryption algorithms are widely used to encrypt secret (confidential) data so that it is not directly accessible to the otherwise illegitimate person and whenever the owner or genuine person requires the data, it can be decrypted with the help of a key or with the help of a retrieving algorithm/function. Steganography has a different approach to deal with this problem. Steganography [15] is an application of information hiding. Steganography or Stego as it is often referred to in the IT community, literally means, "covered writing" which is derived from the Greek language. Steganography is defined by Markus Kahn [3] as follows, "Steganography is the art and science of communicating in a way which hides the existence of the communication. In contrast to Cryptography, where the enemy is allowed to detect, intercept and modify messages without being able to violate certain security premises guaranteed by a

Increased Capacity of Information Hiding in LSB-s Method for Text and Image

—This research paper proposes a secured, robust approach of information security using steganography. It presents two component based LSB (Least Significant Bit) steganography methods for embedding secret data in the least significant bits of blue components and partial green components of random pixel locations in the edges of images. An adaptive LSB based steganography is proposed for embedding data based on the data available in MSB’s (Most Significant Bits) of red, green, and blue components of randomly selected pixels across smooth areas. A hybrid feature detection filter is also proposed that performs better to predict edge areas even in noisy conditions. AES (Advanced Encryption Standard) and random pixel embedding is incorporated to provide two-tier security. The experimental results of the proposed approach are better in terms of PSNR and capacity. The comparison analysis of output results with other existing techniques is giving the proposed approach an edge over others. It has been thoroughly tested for various steganalysis attacks like visual analysis, histogram analysis, chi-square, and RS analysis and could sustain all these attacks very well.

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A New Approach for Information Security using an Improved Steganography Technique

In this study, a novel approach of image embedding is introduced. The proposed method consists of three main steps. First, the edge of the image is detected using Sobel mask filters. Second, the least significant bit LSB of each pixel is used. Finally, a gray level connectivity is applied using a fuzzy approach and the ASCII code is used for information hiding. The prior bit of the LSB represents the edged image after gray level connectivity, and the remaining six bits represent the original image with very little difference in contrast. The proposed method embeds three images in one image and includes, as a special case of data embedding, information hiding, identifying and authenticating text embedded within the digital images. Image embedding method is considered to be one of the good compression methods, in terms of reserving memory space. Moreover, information hiding within digital image can be used for security information transfer. The creation and extraction of three embedded images, and hiding text information is discussed and illustrated, in the following sections. Keywords—Image embedding, Edge detection, gray level connectivity, information hiding, digital image compression.

Fadhil J. Kadhim

Papers

Data Embedding Based on Better Use of Bits in Image Pixels