The major threat in cyber crime for digital forensic examiner is to identify, analyze and interpret the concealed information inside digital medium such as image, audio and video. There are strong indications that hiding information inside digital medium has been used for planning criminal activities. In this way, it is important to develop a steganalysis technique which detects the existence o...

Digital images are increasingly being used as steganographic covers for secret communication. The Least Significant Bit (LSB) encoding is one of the most widely used methods for embedding a message in a digital image. However, the direct application of LSB encoding is vulnerable to steganalysis. For example, RS steganalysis is very efficient in detecting the presence of a message in a digital i...

Issues of security and privacy in surveillance systems are abound. Much focus has been put toward developing security strategies for emerging wireless visual sensor networks. Solutions target protection of the overt communication channel. However, given the characteristics of these networks which include shared resources, high degrees of collaboration and the presence of redundancy and uncertai...

“Maintain the security of the secret informat ion”, this words has been a great challenge in our day to day life. Sender can send messages regularly through a communicat ion channel like Internet, draws the attention of third parties, hackers and crackers, perhaps causing attempts to break and expose the unusual messages. Steganography is a gifted region which is used for secured data transmiss...

Steganalysis deals with identifying the instances of medium(s) which carry a message for communication by concealing their exisitence. This research focuses on steganalysis of JPEG images, because of its ubiquitous nature and low bandwidth requirement for storage and transmission. JPEG image steganalysis is generally addressed by representing an image with lower-dimensional features such as sta...

‘Steganalysis’ is one of the challenging and attractive interests for the researchers with the development of information hiding techniques. It is the procedure to detect the hidden information from the stego created by known steganographic algorithm. paper, a novel feature based image steganalysis technique is proposed. Various statistical moments have been used along with some similarity metr...

The quantitative steganalysis problem aims at estimating the amount of payload embedded inside a document. In this paper, JPEG images are considered, and by the use of a re-embedding based methodology, it is possible to estimate the number of original embedding changes performed on the image by a stego source and to slightly improve the estimation regarding classical quantitative steganalysis m...

In this paper, we present a data hiding detection (steganalysis) method based on Zernike moments of discrete wavelet coefficients of an image and SVM. We use Zernike moments of DWT subbands coefficients of an images as features for steganalysis and use support vector machines (SVM) for classification of stego and non-stego images. Experimental results show that there are different between these...

Up to now, most researches on steganalysis concentrate on one extreme case. Typically, the a priori knowledge of the embedding way and cover-media is assumed known in the classifier training and even feature design stage. However, the steganalysis in the real world is done with different levels of such knowledge so that there can be various paradigms for doing it. Although some researchers have...

In the history of human communication, the concept and need for secrecy between the parties has always been present. One way of achieving it is to modify the message so that it is readable only by the receiver, as in cryptography for example. Hiding the message in an innocuous medium is another, called steganography. And the counterpart to steganography, that is, discovering whether a message i...