Privacy-Preserving Secure Computation of Skyline Query in Distributed Multi-Party Databases

Privacy-Preserving Secure Computation of Skyline Query in Distributed Multi-Party Databases

Selecting representative objects from a large-scale database is an essential task to understand the database. A skyline query is one of the popular methods for selecting representative objects. It retrieves a set of non-dominated objects. In this paper, we consider a distributed algorithm for comput...

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Bibliographic Details
Main Authors: Mahboob Qaosar, Asif Zaman, Md. Anisuzzaman Siddique, Annisa, Yasuhiko Morimoto
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Information
Subjects:
secure skyline
homomorphic encryption
Paillier cryptosystem
information security
data-mining
data privacy
semi-honest adversary model
multi-party computation
Online Access:https://www.mdpi.com/2078-2489/10/3/119

Internet

https://www.mdpi.com/2078-2489/10/3/119

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