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Machine Learning In Image Steganalysis - Research Book

Machine Learning In Image Steganalysis - Research Book

Good Research Book in Machine Learning In Image Steganalysis

Author(s) Name:  Hans Georg Schaathun

About the Book:

   Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an introduction to steganalysis as part of the wider trend of multimedia forensics, as well as a practical tutorial on machine learning in this context.
   It looks at a wide range of feature vectors proposed for steganalysis with performance tests and comparisons. Python programs and algorithms are provided to allow readers to modify and reproduce outcomes discussed in the book.

Table of Contents

  • Introduction
  • Steganography and Steganalysis
  • Getting Started with a Classifier
  • Histogram Analysis
  • Bit-plane Analysis
  • More Spatial Domain Features
  • The Wavelets Domain
  • Steganalysis in the JPEG Domain
  • Calibration Techniques
  • Simulation and Evaluation
  • Support Vector Machines
  • Other Classification Algorithms
  • Feature Selection and Evaluation
  • The Steganalysis Problem
  • Future of the Field
  • ISBN:  978-0-470-66305-9

    Publisher:  Wiley-IEEE Press

    Year of Publication:  2012

    Book Link:  Home Page Url