Noise Tolerant Data Authentication for Wireless Communication

Noise Tolerant Data Authentication for Wireless Communication

AngličtinaPevná vazbaTisk na objednávku
Ur-Rehman Obaid
Springer, Berlin
EAN: 9783319789415
Tisk na objednávku
Předpokládané dodání v pondělí, 22. července 2024
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Podrobné informace

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.

EAN 9783319789415
ISBN 3319789414
Typ produktu Pevná vazba
Vydavatel Springer, Berlin
Datum vydání 10. dubna 2018
Stránky 73
Jazyk English
Rozměry 235 x 155
Země Switzerland
Sekce Professional & Scholarly
Autoři Ur-Rehman Obaid; Zivic Natasa
Ilustrace XI, 73 p. 36 illus., 10 illus. in color.
Edice 1st ed. 2018
Série Signals and Communication Technology