Privacy-enhancing Cloud Computing Solution for Big Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133603" target="_blank" >RIV/00216305:26220/19:PU133603 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/8970982" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8970982</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT48472.2019.8970982" target="_blank" >10.1109/ICUMT48472.2019.8970982</a>

Result language
angličtina
Original language name
Privacy-enhancing Cloud Computing Solution for Big Data
Original language description
A variety of users cyber data are daily collected by enterprises and governments. These data are processed in order to improve users lifestyle, e.g. improving healthcare and optimizing traffic. Cloud computing is often the only possible strategy which allows processing these big amount of information due to the associated costs. However, data owners remain reluctant to outsource their data to a cloud which may read, use or even sell these data leading on user privacy leakage. These threats have been already observed by EU organization and reflected in many regulations and strategies. In this paper, we present data splitting techniques as one of the most promising technology for privacy-preserving computation in a cloud. At first, we propose a new protocol for secure scalar product resistant against honest-but-curious colluding cloud. Then, we compared our new proposal with two most efficient state-of-the-art schemes. These schemes are not secure in a colluding security model. While using higher security level of our proposal, we achieved comparable performance. The protocols were implemented in real environment based on Amazon Web Services and, then, an FPGA processor cards implementation is considered in order to speed up the computations.
Czech name
—
Czech description
—

Project
<a href="/en/project/TJ02000290" target="_blank" >TJ02000290: A hardware accelerated cryptographic system for secure big data sharing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 1th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT)
ISBN
9781728157634
ISSN
2157-023X
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Computer Society
Place of publication
Dublin, Ireland
Event location
Dublin
Event date
Oct 28, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000540651700065

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