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© 2018

Noise Tolerant Data Authentication for Wireless Communication

Benefits

  • Provides a discussion of data (particularly image) authentication methods in the presence of noise experienced in wireless communication

  • Presents a new class of soft authentication methods, instead of the standard hard authentication methods, used to tolerate minor changes in image data

  • Features authentication methods based on the usage of authentication tags as well as digital watermarks

Book

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Obaid Ur-Rehman, Natasa Zivic
    Pages 7-21
  3. Obaid Ur-Rehman, Natasa Zivic
    Pages 23-31
  4. Obaid Ur-Rehman, Natasa Zivic
    Pages 33-37
  5. Obaid Ur-Rehman, Natasa Zivic
    Pages 39-51
  6. Obaid Ur-Rehman, Natasa Zivic
    Pages 53-60
  7. Obaid Ur-Rehman, Natasa Zivic
    Pages 61-70
  8. Back Matter
    Pages 71-73

About this book

Introduction

This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms – for wired devices – are not sufficient to authenticate data, such as voice, images, and video over wireless channels. The authors propose new mechanisms based on the so-called soft authentication algorithms, which tolerate some legitimate modifications in the data that they protect. The authors explain that the goal of these algorithms is that they are tolerant to changes in the content but are still able to identify the forgeries. The authors go on to describe how an additional advantage of the soft authentication algorithms is the ability to identify the locations of the modifications and correct them if possible. The authors show how to achieve this by protecting the data features with the help of error correcting codes. The correction methods are typically based on watermarking, as the authors discuss in the book.

  • Provides a discussion of data (particularly image) authentication methods in the presence of noise experienced in wireless communication;
  • Presents a new class of soft authentication methods, instead of the standard hard authentication methods, used to tolerate minor changes in image data;
  • Features authentication methods based on the usage of authentication tags as well as digital watermarks.

Keywords

Soft Authentication Image Authentication Noise Tolerant Authentication Content Based Image Authentication Feature Extraction Wireless Channels Wireless Communications Systems

Authors and affiliations

  1. 1.Data Communications SystemsUniversity of SiegenSiegenGermany
  2. 2.Data Communications SystemsUniversity of SiegenSiegenGermany

About the authors

Obaid Ur-Rehman is a post-doctoral fellow at the chair for data communications systems of the University of Siegen in Germany. He received his M.Sc. degree in 2004 in Computer Engineering from the Faculty of Electrical Engineering at the University of Engineering and Technology, Taxila, Pakistan and his Dr.-Ing. degree in 2012 from the Chair for Data Communications Systems at the University of Siegen, Germany. During his doctoral research he worked on soft decoding techniques for error correcting codes and their applications in various fields, such as data and image authentication in the presence of noise and over wireless communication channels. Dr.-Ing. Ur-Rehman currently works as a scientific researcher at the Chair for Data Communications Systems at the University of Siegen, Germany. He is involved in various research projects funded by industry and the European Union. He has more than 10 years of industrial and academic experience. He is actively participating in conferences and has given tutorials at various international conferences. He also serves as a reviewer for various international journals and has authored more than 30 scientific research publications in international journals and conferences.

Natasa Zivic is an Associated Professor and a Private Docent at the University of Siegen. She works as a lecturer at the University of Siegen since 2007, teaching Basics of Communication Techniques, Digital Communications Technologies I and Digital Communications Technologies II. She received Dipl.- Ing. degree (1999) and a Magister degree (2002) from the Faculty of Electrical Engineering at the University of Belgrade, Serbia. She started her research at the Chair for Data Communications Systems at the University of Siegen, Germany in October 2004. She received Dr.-Ing. Degree from the University Siegen, Faculty for Electrical and Computer Engineering in 2007 and continued her work as a lecturer and as a postdoctoral candidate. She defended her Postdoctoral Degree (Habilitation) in area of Electrical Engineering and Telecommunications from the University Siegen in 2012. Her actual areas of interest are connection between cryptography and standard communication techniques like channel coding, and applying of cryptography in communications, especially in noisy environments. She published about 100 journal and conference papers, 2 monographs and 3 patents (2 in Germany and 1 in USA). She works as a member of the German national body in ISO and as a project editor of security standards. She served as a TPC member and an organizer of several IEEE conferences/workshops and as a technical reviewer of several IEEE and other journals. She is a member of IEEE and IEEE Communication Society.

Bibliographic information

  • Book Title Noise Tolerant Data Authentication for Wireless Communication
  • Authors Obaid Ur-Rehman
    Natasa Zivic
  • Series Title Signals and Communication Technology
  • Series Abbreviated Title Signals, Communication Technology
  • DOI https://doi.org/10.1007/978-3-319-78942-2
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-78941-5
  • Softcover ISBN 978-3-030-07686-3
  • eBook ISBN 978-3-319-78942-2
  • Series ISSN 1860-4862
  • Series E-ISSN 1860-4870
  • Edition Number 1
  • Number of Pages XI, 73
  • Number of Illustrations 26 b/w illustrations, 10 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Multimedia Information Systems
    Communications Engineering, Networks
  • Buy this book on publisher's site
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