Information Hiding
and its Applications
Steganography and Watermarking
A detailed look at Steganography
   ◦ Text Steganography
   ◦ Hypertext Steganography
   ◦ Audio Steganography
   ◦ Image Steganography
   ◦ Steganography in Open System
Image Steganography Techniques
   ◦ Spatial Domain LSB Insertion
   ◦ Masking and Filtering
   ◦ DCT-based Steganography
   ◦ Wavelet-based Steganography
How to Detect Steganography
   ◦ Blind Detection
   ◦ Analytical Detection

• Overview Papers and Articles about Steganography and Steganalysis.
• Articles and Papers about Image-based Steganography Methods.
• Theses about Steganography and Steganalysis.
• Articles and Papers about Steganalysis.

• An Overview of Steganography, Shawn D. Dickman, July 2007.
• A review on blind detection for image steganography, Xiang-Yang Luo, Dao-Shun Wang, Ping Wang, Fen-Lin Liu.

An Overview of Steganography

By Shawn D. Dickman, James Madison University, July 2007

ABSTRACT:

Steganography is a useful tool that allows covert transmission of information over an overt communications channel. Combining covert channel exploitation with the encryption methods of substitution ciphers and/or one time pad cryptography, steganography enables the user to transmit information masked inside of a file in plain view. The hidden data is both difficult to detect and when combined with known encryption algorithms, equally difficult to decipher. This paper provides a general overview of the following subject areas: historical cases and examples using steganography, how steganography works, what steganography software is commercially available and what data types are supported, what methods and automated tools are available to aide computer forensic investigators and information security professionals in detecting the use of steganography, after detection has occurred, can the embedded message be reliably extracted, can the embedded data be separated from the carrier revealing the original file, and finally, what are some methods to defeat the use of steganography even if it cannot be reliably detected.

A Review on Blind Detection for Image Steganography

By Xiang-Yang Luo a,b, , Dao-Shun Wang b, Ping Wang a, Fen-Lin Liu a

ABSTRACT:

Blind steganalysis techniques detect the existence of secret messages embedded in digital media when the steganography embedding algorithm is unknown. This paper presents a survey of blind steganalysis methods for digital images. First, a principle framework is described for image blind steganalysis, which includes four parts: image pretreatment, feature extraction, classifier selection and design, and classification. We then classify the existing blind detection methods into two categories according to the development of feature extraction and classifier design. For the first category, we survey the principles of six kinds of typical feature extraction methods, describe briefly the algorithms of features extraction of these methods, and compare the performances of some typical feature extraction algorithms by employing the Bhattacharyya distance. For the second category, the development of classifier design, we make a survey on various classification algorithms used in existing blind detection methods, and detail the algorithms behind several classifiers based on multivariate regression analysis, OC-SVM, ANN, CIS and Hyper-geometric structure. Finally, some open problems in this field are discussed, and some interesting directions that may be worth researching in the future are indicated.