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Transactions on Data Hiding and Multimedia Security VIII

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Yun Q. Shi

    1. New Jersey Institute of Technology, Newark, USA

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  2. Stefan Katzenbeisser

    1. Department of Computer Science, Technical University Darmstadt, Darmstadt, Germany

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  • Original and archival research in the field of data hiding and digital watermarking
  • Addresses novel ideas
  • Includes theoretical analyses and experimental results

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7228)

Part of the book sub series: Transactions on Data Hiding and Multimedia Security (TDHMS)

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Table of contents (5 papers)

  1. Front Matter

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  2. Exploiting Relative Entropy and Quality Analysis in Cumulative Partial Biometric Fusion

    • Hisham Al-Assam, Ali Abboud, Harin Sellahewa, Sabah Jassim
    Pages 1-18

  3. Improving Reliability of Biometric Hash Generation through the Selection of Dynamic Handwriting Features

    • Andrey Makrushin, Tobias Scheidat, Claus Vielhauer
    Pages 19-41

  4. Feature-Based Forensic Camera Model Identification

    • Thomas Gloe
    Pages 42-62

  5. Watermark Embedding Using Audio Fingerprinting

    • Sascha Zmudzinski, Martin Steinebach, Moazzam Butt
    Pages 63-79

  6. Plausibility Considerations on Steganalysis as a Security Mechanism – Discussions on the Example of Audio Steganalysis

    • Christian Kraetzer, Jana Dittmann
    Pages 80-101

  7. Back Matter

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Keywords

About this book

Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication, and is now used in various applications including broadcast monitoring, movie fingerprinting, steganography, video indexing and retrieval, and image authentication. Data hiding and cryptographic techniques are often combined to complement each other, thus triggering the development of a new research field of multimedia security. Besides, two related disciplines, steganalysis and data forensics, are increasingly attracting researchers and becoming another new research field of multimedia security. This journal, LNCS Transactions on Data Hiding and Multimedia Security, aims to be a forum for all researchers in these emerging fields, publishing both original and archival research results.
This special issue contains five selected papers that were presented at the Workshop on Pattern Recognition for IT Security, held in Darmstadt, Germany, in September 2010, in conjunction with the 32nd Annual Symposium of the German Association for Pattern Recognition, DAGM 2010. It demonstrates the broad range of security-related topics that utilize graphical data. The contributions explore the security and reliability of biometric data, the power of machine learning methods to differentiate forged images from originals, the effectiveness of modern watermark embedding schemes and the use of information fusion in steganalysis.

Editors and Affiliations

  • New Jersey Institute of Technology, Newark, USA

    Yun Q. Shi

  • Department of Computer Science, Technical University Darmstadt, Darmstadt, Germany

    Stefan Katzenbeisser

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