VeraGreg: A Framework for Verifiable Privacy-Preserving Data Aggregation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00331176" target="_blank" >RIV/68407700:21230/18:00331176 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/TrustCom/BigDataSE.2018.00275" target="_blank" >http://dx.doi.org/10.1109/TrustCom/BigDataSE.2018.00275</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TrustCom/BigDataSE.2018.00275" target="_blank" >10.1109/TrustCom/BigDataSE.2018.00275</a>

Result language

angličtina

Original language name

VeraGreg: A Framework for Verifiable Privacy-Preserving Data Aggregation

Original language description

A lot of effort has been made to devise a scheme for verifiable and privacy-preserving outsourcing of arbitrary computations. However, such schemes rely on Fully Homomorphic Encryption which is still far from practical. In our work, we instead focus solely on encryption schemes with single homomorphic operation, in particular addition. We define a rigorous framework that gives the data originator a possibility to check what values have been incorporated within provided homomorphic aggregate. We also propose a practical scheme that instantiates this framework and prove that it achieves Indistinguishability under Non-Adaptive Chosen Ciphertext Attack (IND-CCA1). The definition of our framework led us further to a straightforward modification of the security notions of Non-Malleability (NM) and Adaptive Chosen Ciphertext Attack (CCA2). Our modification aims at preventing trivial breach which is by principle unavoidable for plain homomorphic encryption. With our enhancement, the notions of security can serve as a novel security goal for any future verifiable homomorphic schemes.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

ISBN

978-1-5386-4387-7

ISSN

—

e-ISSN

2324-9013

Number of pages

6

Pages from-to

1820-1825

Publisher name

IEEE

Place of publication

—

Event location

New York

Event date

Jul 31, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000495072100265