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...
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: | |
Online Access: | https://www.mdpi.com/2078-2489/10/3/119 |
Similar Items
-
A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption
by: Mahboob Qaosar, et al.
Published: (2019-01-01) -
Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation
by: Saleh Ahmed, et al.
Published: (2019-06-01) -
Homomorphic Encryption-Based LSB Substitution for High Capacity Data Hiding in the Encrypted Domain
by: Pauline Puteaux, et al.
Published: (2020-01-01) -
PPDM-TAN: A Privacy-Preserving Multi-Party Classifier
by: Maria Eleni Skarkala, et al.
Published: (2021-01-01) -
Encryption and Re-Randomization Techniques for Malware Propagation
by: Ahsan Rasheed Abbasi, et al.
Published: (2021-01-01)