Privately and Publicly Verifiable Computing Techniques

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

A Survey, SpringerBriefs in Computer Science

ISBN: 3319537970
ISBN 13: 9783319537979
Autor: Demirel, Denise/Schabhüser, Lucas/Buchmann, Johannes
Verlag: Springer Verlag GmbH
Umfang: xii, 64 S.
Erscheinungsdatum: 05.04.2017
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert

This work is the first comprehensive overview and comparison of all existing constructions and provides a good introduction to the research field of verifiable computingThis survey provides a good overview of the literature and helps people to understand this research field and the state of the art with respect to verifiable computingFor all existing approaches we provide a brief description of the approach and highlight the properties the solution achieve. More precisely, we analyse which level of security it provides, how efficient the verification process is, whether anyone or only the client can act as a verifier and check the correctness of the result, which function class the verifiable computing scheme supports, and whether privacy with respect to the input and/or output data is givenIncludes supplementary material: sn.pub/extras

Artikelnummer: 1131519 Kategorie:

Beschreibung

This book presents the first comprehensive overview of various verifiable computing techniques, which allow the computation of a function on outsourced data to be delegated to a server. It provides a brief description of all the approaches and highlights the properties each solution achieves. Further, it analyzes the level of security provided, how efficient the verification process is, who can act as a verifier and check the correctness of the result, which function class the verifiable computing scheme supports, and whether privacy with respect to t he input and/or output data is provided. On the basis of this analysis the authors then compare the different approaches and outline possible directions for future work.The book is of interest to anyone wanting to understand the state of the art of this research field.

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E-Mail: juergen.hartmann@springer.com

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