Privacy preservation based on full-domain generalization for incremental data publishing
© Springer Science+Business Media Singapore 2016. As data can be continuously collected and grow all the time with the enabling of advancement in IT infrastructure, the privacy protection mechanism which is designed for static data might not be able to cope with this situation effectively. In this p...
Saved in:
Main Authors: | Soontornphand T., Harnsamut N., Natwichai J. |
---|---|
Format: | Book Series |
Published: |
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959097921&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42289 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Privacy preservation based on full-domain generalization for incremental data publishing
by: Torsak Soontornphand, et al.
Published: (2018) -
Joint Attack: A New Privacy Attack for Incremental Data Publishing
by: Soontornphand T., et al.
Published: (2017) -
Privacy preservation for trajectory data publishing by look-up table generalization
by: Nattapon Harnsamut, et al.
Published: (2018) -
Joint Attack: A New Privacy Attack for Incremental Data Publishing
by: Torsak Soontornphand, et al.
Published: (2018) -
Issues in Privacy Preservation for RePublishable Data
by: Pachara Tinamas, et al.
Published: (2020)