Privately and Publicly Verifiable Computing Techniques Privately and Publicly Verifiable Computing Techniques
SpringerBriefs in Computer Science

Privately and Publicly Verifiable Computing Techniques

A Survey

Denise Demirel und andere
    • 42,99 €
    • 42,99 €

Beschreibung des Verlags

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.

GENRE
Computer und Internet
ERSCHIENEN
2017
27. März
SPRACHE
EN
Englisch
UMFANG
76
Seiten
VERLAG
Springer International Publishing
GRÖSSE
1
 MB

Mehr ähnliche Bücher

Theory of Cryptography Theory of Cryptography
2016
Security and Cryptography for Networks Security and Cryptography for Networks
2016
Information Security Practice and Experience Information Security Practice and Experience
2011
Information Security Information Security
2018
Provable Security Provable Security
2017
Information Security Information Security
2007

Mehr Bücher von Denise Demirel, Lucas Schabhüser & Johannes Buchmann

Andere Bücher in dieser Reihe

The Amazing Journey of Reason The Amazing Journey of Reason
2019
Manifold Learning Manifold Learning
2024
A Primer on Quantum Computing A Primer on Quantum Computing
2019
Agile Risk Management Agile Risk Management
2014
Distributed Hash Table Distributed Hash Table
2013
Explaining Algorithms Using Metaphors Explaining Algorithms Using Metaphors
2013