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Noise Tolerant Data Authentication For Wireless Communication eBook

de Obaid Ur-Rehman e Natasa Zivic
idioma: inglês
Editor: Springer International Publishing, março de 2018 ‧
59,61€
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DISPONIBILIDADE IMEDIATA
Ebook para ADE
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.


Noise Tolerant Data Authentication For Wireless Communication

de Obaid Ur-Rehman e Natasa Zivic

Propriedade Descrição
ISBN: 9783319789422
Editor: Springer International Publishing
Data de Lançamento: março de 2018
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: Signals And Communication Technology
Classificação Temática: eBooks em Inglês > Engenharia > Eletricidade e Energia
EAN: 9783319789422
Acessibilidade: Ver características de acessibilidade indicadas pelo editor