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Machine Learning in Image Steganalysis on Hardback by Hans Georg Schaathun
Machine Learning in Image Steganalysis on Hardback by Hans Georg Schaathun
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Machine Learning in Image Steganalysis

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Description

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.

Author Biography:

Hans Georg Schaathun, Department of Computing, University of Surrey, UK Dr Schaathun was previously a lecturer in coding and cryptography at the University of Bergen. Since February 2006, he has been a lecturer at the University of Surrey, UK, belonging to the research group in Digital Watermarking and Multimedia Security. His main research areas are applications of coding theory in information hiding, and machine learning techniques in steganalysis. He teaches Computer Security and Steganography at MSc level, and Functional Programming Techniques at u/g level. Dr Scaathun has published more than 35 international, peer-reviewed articles, and is an associate editor of EURASIP Journal of Information Security.
Release date NZ
September 21st, 2012
Audience
  • Professional & Vocational
Pages
296
Dimensions
173x252x18
ISBN-13
9780470663059
Product ID
19853067

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