Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: Preserving private cloud service data based on hypergraph anonymization
Author: Li, Y.
Li, Y.
Zhang, B.
Shen, H.
Citation: Proceedings of the International conference on Parallel and Distributed Computing, Applications and Technologies, 2014, pp.192-197
Publisher: IEEE
Publisher Place: Online
Issue Date: 2014
ISBN: 9781479924189
Conference Name: International conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) (16 Dec 2013 - 18 Dec 2013 : Tapei, Taiwan)
Statement of
Yuechuan Li, Yidong Li, Baopeng Zhang and Hong Shen
Abstract: Cloud computing is becoming increasingly popular due to its power in providing high-performance and flexible service capabilities. More and more internet users have accepted this innovative service model and been using various cloudbased services every day. However, these service-using data is quite valuable for marketing purposes, as it can reflect a user’s interest and service-using pattern. Therefore, the privacy issues have been brought out. Recently, many studies focus on access control and other traditional security problems in cloud, and little studied on the topic of the private service data publishing. In this paper, we study the private service data publishing problem by representing the data with a hypergraph, which is quite efficient to illustrate complex relationships among users. We first formulate the problem with a popular background knowledge attack model named rank attack , and then providean anonymization-based method to prevent the released data from such attacks. We also take data utility into consideration by defining specific information loss metrics. The performances of the methods have been validated by two sets of synthetic data.
Rights: © 2013 IEEE
DOI: 10.1109/PDCAT.2013.37
Published version:
Appears in Collections:Aurora harvest 3
Computer Science publications

Files in This Item:
File Description SizeFormat 
  Restricted Access
Restricted Access587.04 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.