location: Current position: Home >> Scientific research >> Paper achievements

SLOMS: A Privacy Preserving Data Publishing Method for Multiple Sensitive Attributes Microdata

Hits :

First Author : Jianmin Han

Date of Publication : 2013-01-01

Journal : Journal of Software

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Volume : Vol.8

Issue : No.12

Page Number : 3096-3104

ISSN : 1796-217X

Key Words : k-anonymity;l-diversity;multi-dimension;bucketization;method;SLOMS

Abstract : Multi-dimension bucketization is a typical method to anonymize multiple sensitive attributes. However, the method leads to low data utility when microdata have more sensitive attributes. In addition, the methods do not generalize quasi-identifiers, which

Translation or Not : no

Pre One : On the complexity of role updating feasibility problem in RBAC

Next One : Detecting Regularities of Traffic Signal Timing Using GPS Trajectories

Recommend this Article