Machine Learning in Image Steganalysis 1st Edition by Hans Georg Schaathun ISBN 978-1118438008 1118438008
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Product details:
ISBN 10: 1118438008
ISBN 13: 978-1118438008
Author: Hans Georg Schaathun
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:
Chapter 1: Introduction
Chapter 2: Steganography and Steganalysis
Chapter 3: Getting Started with a Classifier
Chapter 4: Histogram Analysis
Chapter 5: Bit-plane Analysis
5.1 Visual Steganalysis
5.2 Autocorrelation Features
5.3 Binary Similarity Measures
5.4 Evaluation and Comparison
Chapter 6: More Spatial Domain Features
Chapter 7: The Wavelets Domain
Chapter 8: Steganalysis in the JPEG Domain
Chapter 9: Calibration Techniques
Chapter 10: Simulation and Evaluation
Chapter 11: Support Vector Machines
Chapter 12: Other Classification Algorithms
Chapter 13: Feature Selection and Evaluation
Chapter 14: The Steganalysis Problem
Chapter 15: Future of the Field
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Tags: Hans Georg Schaathun, Machine Learning, Image Steganalysis