Compressed Sensing for Privacy-Preserving Data Processing

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53,49 

SpringerBriefs in Electrical and Computer Engineering – SpringerBriefs in Signal Processing

ISBN: 9811322783
ISBN 13: 9789811322785
Verlag: Springer Verlag GmbH
Umfang: viii, 91 S., 3 s/w Illustr., 26 farbige Illustr., 91 p. 29 illus., 26 illus. in color.
Erscheinungsdatum: 11.09.2018
Weitere Autoren: Testa, Matteo/Valsesia, Diego/Bianchi, Tiziano et al
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert

Comprehensively describes the state of the art in compressed sensing and security and related applicationsIncludes software that allows readers to follow the theory and reproduce the experimentsCovers applications for the use of compressed sensing as a cryptosystem and a privacy-preserving embedding

Artikelnummer: 5341022 Kategorie:

Beschreibung

The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude the book having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in informationretrieval systems. Accompanying software is made available on the authors website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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