DocumentCode
3504840
Title
A method of Enhanced t - Closeness for privacy protection
Author
Song Yang ; Li Lijie ; Zhang Jianpei ; Yang Jing
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Volume
02
fYear
2013
fDate
16-18 Aug. 2013
Firstpage
1491
Lastpage
1494
Abstract
For t-Closeness which did not give a specific algorithm, and the semantic privacy can´t custom question, on the basis of model of t-Closeness and enhanced k-anonymity technology, Enhanced t-closeness privacy protection method is proposed in this paper, gives a semantic privacy degree measure and specific implementation of the algorithm. This article gives two specific algorithms: a top-down approach and a method based on the genetic classification. Using this method can enhance the ability of resistance similar to sexual assault, effectively prevent privacy leaks, and ensure the availability of the data quality.
Keywords
data protection; genetic algorithms; pattern classification; data privacy protection; data quality; enhanced T-closeness method; enhanced k-anonymity technology; enhanced t-closeness privacy protection method; genetic classification; semantic privacy degree measure; top-down approach; Classification algorithms; Measurement; Semantics; Sociology; Statistics; (t, a)-closeness; privacy protection; t-closeness;
fLanguage
English
Publisher
ieee
Conference_Titel
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-1390-9
Type
conf
DOI
10.1109/MIC.2013.6758241
Filename
6758241
Link To Document