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Data Hiding Fundamentals and Applications - 1st Edition - ISBN: 9780120471447, 9780080488660

Data Hiding Fundamentals and Applications

1st Edition

Content Security in Digital Multimedia

Authors: Husrev Sencar Mahalingam Ramkumar Ali Akansu
Hardcover ISBN: 9780120471447
eBook ISBN: 9780080488660
Imprint: Academic Press
Published Date: 20th August 2004
Page Count: 272
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Description

Multimedia technologies are becoming more sophisticated, enabling the Internet to accommodate a rapidly growing audience with a full range of services and efficient delivery methods. Although the Internet now puts communication, education, commerce and socialization at our finger tips, its rapid growth has raised some weighty security concerns with respect to multimedia content. The owners of this content face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for commerce.

Data Hiding Fundamentals and Applications focuses on the theory and state-of-the-art applications of content security and data hiding in digital multimedia. One of the pillars of content security solutions is the imperceptible insertion of information into multimedia data for security purposes; the idea is that this inserted information will allow detection of unauthorized usage.

Key Features

  • Provides a theoretical framework for data hiding, in a signal processing context
  • Realistic applications in secure, multimedia delivery
  • Compression robust data hiding
  • Data hiding for proof of ownership--WATERMARKING
  • Data hiding algorithms for image and video watermarking

Readership

Engineers, computer scientists, and students doing research in multimedia signal processing, content security, and digital rights management (DRM) systems.

Table of Contents

Preface

  1. Introduction

  2. 1 What is Data Hiding?

  3. 2 Forms of Data Hiding

  4. 3 Properties of Steganographic Communications

  5. 4 The Steganographic Channel

  6. Frameworks for Data Hiding

  7. 1 Signal Processing Framework

  8. 2 Data Hiding from a Communications Perspective

  9. 3 Relationship Between Communications and Signal Processing Frameworks

  10. 4 A Review of Data Hiding Methods

  11. Communication with Side Information and Data Hiding

  12. 1 Costa’s Framework

  13. 2 A Framework Based on Channel Adaptive Encoding and Channel Independent Decoding

  14. 3 On the Duality of Communications and Data Hiding Frameworks

  15. 4 Codebook Generation for Data Hiding Methods

  16. Type I (Linear) Data Hiding

  17. 1 Linear Data Hiding in Transform Domain

  18. 2 Problem Statement

  19. 3 Capacity of Additive Noise Channels

  20. 4 Modeling Channel Noise

  21. 5 Visual Threshold

  22. 6 Channel Capacity vs. Choice of Transform

  23. 7 Some Capacity Results and Discussions

  24. 8 The Ideal Decomposition

  25. 9 Factors Influencing Choice of Transform

  26. Type II and Type III (Nonlinear) Data Hiding Methods

  27. 1 Type II Embedding and Detection

  28. 2 Type III Embedding and Detection Methods

  29. 3 Performance Comparisons

  30. Advanced Implementations

  31. 1 Spread Transforming

  32. 2 Multiple Codebook Data Hiding

  33. Major Design Issues

  34. 1 DFT-Based Signaling

  35. 2 Synchronization

  36. 3 Perceptual Constraints

  37. 4 Attacks on Data Hiding Systems

  38. Data Hiding Applications

  39. 1 Design of Data Hiding Methods Robust to Lossy Compression

  40. 2 Type III Hiding for Lossy Compression

  41. 3 Watermarking for Ownership

Appendix A Appendix B Mathematical Proofs Bibliography Index:

Details

No. of pages:
272
Language:
English
Copyright:
© Academic Press 2004
Published:
20th August 2004
Imprint:
Academic Press
Hardcover ISBN:
9780120471447
eBook ISBN:
9780080488660

About the Authors

Husrev Sencar

Affiliations and Expertise

New Jersey Institute of Technology, Newark, New Jersey

Mahalingam Ramkumar

Affiliations and Expertise

Polytechnic University, Brooklyn, New York

Ali Akansu

Ali N. Akansu received the BS degree from the Technical University of Istanbul, Turkey, in 1980, the MS and Ph.D degrees from the Polytechnic University, Brooklyn, New York in 1983 and 1987, respectively, all in Electrical Engineering. He has been with the Electrical & Computer Engineering Department of the New Jersey Institute of Technology since 1987. He was an academic visitor at David Sarnoff Research Center, at IBM T.J. Watson Research Center, and at GEC-Marconi Electronic Systems Corp. He was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University performed research on Quantitative Finance. He serves as a consultant to the industry. His current research and professional interests include theory of signals and transforms, financial engineering & electronic trading, and high performance DSP (FPGA & GPU computing).

Affiliations and Expertise

New Jersey Institute of Technology, Newark, NJ, USA

Reviews

“ ... this book is recommended to computer programming professionals, technical intelligence personnel, and select students in the hard sciences. It is also recommended to data-hiding professionals who wish to expand or refresh their skills in this vital and rapidly expanding field.” —Dan Bergevin of Catfield International, Security Management

“This is a readable book and of importance to those with a special interest in the growing number of multimediea technologies now being applied to the internet services. Cyberneticians and systemists will find the book of interest and those who are directly involved with these online activities need to read it.” —D.M. Hutton, Kybernetes, Volume 34, Issue 7+8, 2005

"With Data Hiding Fundamentals and Applications, the three authors seek to fill a broad gap in the literature of digital multimedia security. Steganography, the art of hiding information in multimedia content, is discussed in meticulous detail in various contexts. But if you don’t savor complex equations and block diagrams, this book isn’t for you... Because of its high level of information, this book is recommended to computer programming professionals, technical intelligence personnel, and select students in the hard sciences. It is also recommended to data-hiding professionals who wish to expand or refresh their skills in this vital and rapidly expanding field." —Security Management

Ratings and Reviews