Privately and Publicly Verifiable Computing Techniques - A Survey (Paperback, 1st ed. 2017)

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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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

SpringerBriefs in Computer Science

Release date

April 2017

Availability

Expected to ship within 10 - 15 working days

First published

2017

Authors

, ,

Dimensions

235 x 155 x 4mm (L x W x T)

Format

Paperback

Pages

64

Edition

1st ed. 2017

ISBN-13

978-3-319-53797-9

Barcode

9783319537979

Categories

LSN

3-319-53797-0



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