High Utility K-anonymization for Social Network Publishing
Privacy and utility are two main desiderata of good sensitive information publishing schemes. For publishing social networks, many existing algorithms rely on k k -anonymity as a criterion to guarantee privacy protection. They reduce the utility loss by first using the degree sequence to model the...
Saved in:
Main Authors: | WANG, Yazhe, XIE, Long, ZHENG, Baihua, LEE, Ken C.K. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1836 http://dx.doi.org/10.1007/s10115-013-0674-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Utility-driven anonymization in data publishing
by: Xue, M., et al.
Published: (2013) -
Privacy protection via anonymization for publishing multi-type data
by: XUE MINGQIANG
Published: (2013) -
k-Anonymity in the Presence of External Databases
by: SACHARIDIS, Dimitris, et al.
Published: (2010) -
Utility-Oriented K-Anonymization on Social Networks
by: WANG, Yazhe, et al.
Published: (2011) -
On the Privacy and Utility of Social Networks
by: SONG YI
Published: (2014)