Text hiding in text using invisible character

Steganography can be defined as the art and science of hiding information in the data that could be read by computer. This science cannot recognize stego-cover and the original one whether by eye or by computer when seeing the statistical samples. This paper presents a new method to hide text in text characters. The systematic method uses the structure of invisible character to hide and extract secret texts. The creation of secret message comprises four main stages such using the letter from the original message, selecting the suitable cover text, dividing the cover text into blocks, hiding the secret text using the invisible character and comparing the cover-text and stego-object. This study uses an invisible character (white space) position of in the cover text that used to hide the the secrete sender masseges. The experiments results show that the suggested method presents highly secret due to use the multi-level of complexity to avoid the attackers

Detecting covert communication channels in raster images

Digital image steganography is a method for hiding secret messages within everyday Internet communication channels. Such covert communications provide protection for communications and exploit the opportunities available in digital media. Digital image steganography makes the nature and content of a message invisible to other users by taking ordinary internet artefacts and using them as cover objects for the messages. In this paper we demonstrate the capability with raster image files and discuss the challenges of detecting such covert communications. The contribution of the research is community awareness of covert communication capability in digital media and the motivation for including such checks in any investigatory analysis

Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks

The rapid development of digital steganography over the past decade involving numerous scien-tific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. At the same time, the organization of a ste-ganographic channel can lead to various kinds and degrees of negative consequences both for individuals and for society as a whole. Because of this, the need and relevance of providing ef-fective digital image steganalysis is currently increasing. One of the most widely used ste-ganographic methods today is the LSB-method. The specific area of its application is in the or-ganization of a hidden low bandwidth communication channel. Under these conditions, the ex-isting steganalitic methods turn out to be ineffective. The aim of this paper is to increase the ef-ficiency of image steganalysis in the conditions of low bandwidth of a covert channel organized by the LSB-method. Achieving this aim is carried out by developing a new method based on the analysis of the normalized separation of the maximum singular numbers of the image matrix blocks. The algorithmic implementation of the developed method is superior in efficiency when compared to the existing modern analogues, in terms of the covert channel for bandwidth values of less than 0.1 bpp. An important information component of the results of the proposed meth-od is its ability to determine the cover-image quality factor of the primary lossy compression