A Survey of Data Mining Techniques for Steganalysis
Farid Ghareh, Mohammad Saniee · InTech eBooks · 2012
Recent Advances in Steganography 2In this study, we will present the survey of using data mining techniques on steganalysis, with intention to establish the significant data mining methods such as classification, clustering and other data mining methods that have been applied for steganalysis purposes.We will review numerous classification methods containing Decision Tree (DT), Support Vector Machines (SVM), Naive Bayes (NB), K-nearest neighbour (KNN), Neural Network (NN) and also a major variety of clustering methods contain K-means, agglomeration and random algorithms.The rest of this book chapter is organized as follows: In Section 2, we will review the general classification of data mining techniques on steganalysis.Section 3 discusses about applied data mining techniques in brief.In Section 4, we will discuss the applied data mining techniques for image steganalysis.We will study data mining techniques for steganalysis over audio, video, text and protocol domains in section 5.In section 6, we will summarize several previous investigations about the application of data mining techniques for steganalysis using several well-presented figures and tables.Section 7 concludes this book chapter.