Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding
The k-anonymity model is widely used as a data anonymization technique for privacy protection during the data release phase.However, with the advent of the big data era, the generation of vast amounts of data poses challenges to data storage.However, it is not feasible to expand the storage space in...
Saved in:
Main Authors: | Yue YU, Xianzheng LIN, Weihai LI, Nenghai YU |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2023-08-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023054 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm
by: Saite CHEN, et al.
Published: (2023-06-01) -
Privacy self-correlation privacy-preserving scheme in LBS
by: Weihao LI, et al.
Published: (2019-05-01) -
Uncertain trajectory privacy-preserving method of moving object
by: Shuang WANG, et al.
Published: (2015-11-01) -
Overview of privacy preserving in social network
by: Rui-xin YAO, et al.
Published: (2016-04-01) -
KAP:location privacy-preserving approach in location services
by: Yu-hang WANG, et al.
Published: (2014-11-01)