• Aucun résultat trouvé

PAIRSE: a privacy-preserving service-oriented data integration system

N/A
N/A
Protected

Academic year: 2021

Partager "PAIRSE: a privacy-preserving service-oriented data integration system"

Copied!
7
0
0

Texte intégral

Loading

Figure

Figure 1: Peer Structure
Figure 2: (a) a parameterized RDF view; (b) its graphical representation
Figure 3: A Privacy-preserving Service Exe- Exe-cution Process
Figure 4: (a) Query interface; (b) The selected composition; (c) Obtained results

Références

Documents relatifs

Given a rating published in the blockchain concerning a given service provider, the identity from the customer that origi- nated this rating is indistinguishable, from the

In this paper, we propose a homomorphic Logistic Regression based on Residue Number System (LR-RNS) that provides security, parallel processing, scalability, error detection,

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

More precisely, the user sends queries to the platform encrypted with a global public key generated by a set of cluster heads, the query is then re-encrypted by the sensing server

We performed a comparison of 6 data generative methods 2 on the MIMIC-III mortality problem: (1) Gaussian Multivariate [2], (2) Wasserstein GAN (WGAN) [3, 4], (3) Parzen Windows

• The local service monitors (Monitor A, Monitor B etc.) gather performance and security data including response time, response status, authentication failures, etc.,

Consider the case of a group of two or more users that want to make some kind of computation based on common data, but without revealing to the oth- ers their own information..

The application bundles approaches for both event log sanitization, which transforms an event log into one that meets privacy criteria, as well as privatized process mining