A Blind Steganalysis Scheme using Estimation Techniques

Steganalysis is a technique for the detection of the secret informations embedded in the another image known as cover image and if possible the secret text is tried to recover .In this paper ,two techniques are used for the detection of the hidden data .Firstly, detection done by comparing the histogram of the stego & cover image in which the attacker knows about the cover image without the knowledge of the coding algorithm of the stego image & secondly in the image smoothening technique , the probability distribution function is used for the detection .Based on the difference in statistical parameter of the stego image with cover image detection is done.

2021

In current days, there is a constant evolution in modern technology. The most predominant usage of technology by society is the internet. There are many ways and means on the internet through which data is transmitted. Having such rapid and fast growth of communicating media also increases the exposure to security threats, causing unintellectual information ingress. Steganography is the main aspect of communicating in an aspect that hides the extent of communication. Steganalysis is another essential concern in data concealing, which is the art of identifying the existence of steganography. A framework has been designed to identify the concealed data in the multimedia file in the proposed system. This work's main strength is analyzing concealed data images without embedding and extracting the image's payloads. A quantitative steganalysis approach was considered to accomplish the proposed objective. By using this approach, the results were achieved with 98% accuracy.

Multimedia Systems, 2003

The objective of steganalysis is to detect messages hidden in cover objects, such as digital images. In practice, the steganalyst is frequently interested in more than whether or not a secret message is present. The ultimate goal is to extract and decipher the secret message. However, in the absence of the knowledge of the stego technique and the stego and cipher keys, this task may be extremely time consuming or completely infeasible. Therefore, any additional information, such as the message length or its approximate placement in image features, could prove very valuable to the analyst. In this paper, we present general principles for developing steganalytic methods that can accurately estimate the number of changes to the cover image imposed during embedding. Using those principles, we show how to estimate the secret message length for the most common embedding archetypes, including the F5 and OutGuess algorithms for JPEG, EzStego algorithm with random straddling for palette images, and the classical LSB embedding with random straddling for uncompressed image formats. The paper concludes with an outline of ideas for future research such as estimating the steganographic capacity of embedding algorithms.

IOSR Journal of Electronics and Communication Engineering, 2013

Steganography is an information security approach used to hide messages inside suitable covers in such a way that it is not known to attackers. The cover files may be any digital data including Image or Audio files. For steganography several methods exists where each of them has some advantages and disadvantages. Steganographic applications have varying requirements depending upon the steganography technique used. In this paper we present an overview of image steganography and steganalsysis, its uses and techniques. It also attempts to identify the requirements of a good steganographic algorithm and compares their performance with respect to requirements.

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/a-review-on-image-steganalysis-techniques-for-attacking-steganography https://www.ijert.org/research/a-review-on-image-steganalysis-techniques-for-attacking-steganography-IJERTV3IS11136.pdf Steganography is a data hiding technique that embeds the secret message inside a digital media for providing a method of invisible communication. All digital file formats can be used for steganography of which digital images are the most popular because of its massive presence in the internet. For hiding secret information in images, there exist a large variety of steganographic techniques. Several efforts are made to establish ways of detecting whether or not an image contains a steganographic element. Steganalysis is the technique of detecting the presence of steganography that can serve as an effective way to judge the security performance of steganographic techniques. In this paper, we provide an overview of digital image steganalysis technique for detecting steganographic method and identify where to look for hidden information. These techniques are analyzed and discussed in terms of their ability to detect secret message in an image file. We have also reviewed some attacks on steganography.

Journal of Global Research in Computer Science, 2011

The staggering growth in communication technology and usage of public domain channels (i.e. Internet) has greatly facilitated transfer of data. However, such open communication channels have greater vulnerability to security threats causing unauthorized information access. Traditionally, encryption is used to realize the communication security. However, important information is not protected once decoded. Steganography is the art and science of communicating in a way which hides the existence of the communication. Important information is firstly hidden in a host data, such as digital image, text, video or audio, etc, and then transmitted secretly to the receiver. Steganalysis is another important topic in information hiding which is the art of detecting the presence of steganography. This paper provides a critical review of steganography as well as to analyze the characteristics of various cover media namely image, text, a u d i o and video in respects of the fundamental concepts, the progress of steganographic methods and the development of the corresponding steganalysis schemes.

Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore, 2007

In the last few years, we have seen many new and powerful steganography and steganalysis techniques reported in the literature. In the following tutorial we go over some general concepts and ideas that apply to steganography and steganalysis. We review and discuss the notions of steganographic security and capacity. Some of the more recent image steganography and steganalysis techniques are analyzed with this perspective, and their contributions are highlighted.

2008

In this tutorial, we introduce the basic theory behind Steganography and Steganalysis, and present some recent algorithms and developments of these fields. We show how the existing techniques used nowadays are related to Image Processing and Computer Vision, point out several trendy applications of Steganography and Steganalysis, and list a few great research opportunities just waiting to be addressed.

Communications in Computer and Information Science, 2009

In recent years, several lossless data hiding techniques have been proposed for images. Lossless data embedding can take place in the spatial domain or in the transform domain. They utilized characteristics of the difference image or the transform coefficient histogram and modify these values slightly to embed the data. However, after embedding message bits these steganography changed the nature of the difference image histogram or the transform coefficient histogram gradually. In this paper, we introduce two new steganalytic techniques based on the difference image histogram and the transform coefficient histogram. The algorithm can not only detect existence of secret messages in images which are embedded by above methods reliably, but also estimate the amount of hidden messages exactly.

IOSR Journal of Computer Engineering, 2012

Steganography is a technique of hiding secret messages in the image in such a way that no one apart from the sender and intended recipient suspects the existence of the message. Image Steganography is frequently used by Terrorist Networks for securely broadcasting, dead-dropping and communicating the secret information over the internet by hiding the secret information in the Images. As a result it becomes the most preferred tool to be used by Terrorists and criminal organizations for achieving secure CIA (Confidentiality, Integrity and Availability) compliant communication network capable of penetrating deep inside the civilian population. Steganalysis of Image (Identification of Images containing Hidden Information) is a challenging task due to lack of Efficient Algorithms, High rates of False Alarms and above all the High Computation Costs of Analyzing the Images. In this paper a Novel Technique of Image Steganalysis is devised which is not only Fast and Efficient but also Foolproof. The results shown in the paper are obtained using programs written in MATLAB© Image Processing Tool Box.