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eBook - ePub
Machine Learning in Image Steganalysis
Hans Georg Schaathun
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- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Machine Learning in Image Steganalysis
Hans Georg Schaathun
Book details
Table of contents
Citations
About This 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.
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Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Chapter 1: Introduction
- Chapter 2: Steganography and Steganalysis
- Chapter 3: Getting Started with a Classifier
- Chapter 4: Histogram Analysis
- Chapter 5: Bit-plane Analysis
- 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
- Bibliography
- Index