A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption

A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption

Nowadays, the management and analyses of `big data' are becoming indispensable for numerous organizations all over the world. In many cases, multiple organizations want to perform data analyses on their combined databases. Skyline query is one of the popular operations for selecting representat...

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Bibliographic Details
Main Authors: Mahboob Qaosar, Kazi Md. Rokibul Alam, Asif Zaman, Chen Li, Saleh Ahmed, Md. Anisuzzaman Siddique, Yasuhiko Morimoto
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data mining
skyline query
multi-party computation
data privacy
Paillier cryptosystem
homomorphic encryption
Online Access:https://ieeexplore.ieee.org/document/8906090/

Internet

https://ieeexplore.ieee.org/document/8906090/

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