Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation

Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation

Selecting representative objects from a large-scale dataset is an important task for understanding the dataset. Skyline is a popular technique for selecting representative objects from a large dataset. It is obvious that the skyline computation from the collective databases of multiple organizations...

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Bibliographic Details
Main Authors: Saleh Ahmed, Mahboob Qaosar, Asif Zaman, Md. Anisuzzaman Siddique, Chen Li, Kazi Md. Rokibul Alam, Yasuhiko Morimoto
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Information
Subjects:
skyline
MapReduce
distributed system
information security
order-preserving encryption
homomorphic encryption
big data
data privacy
semi-honest model
multi-party computation
Online Access:https://www.mdpi.com/2078-2489/10/6/207

Internet

https://www.mdpi.com/2078-2489/10/6/207

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