2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) (2014)
Nov. 8, 2014 to Nov. 10, 2014
The traditional data publishing methods will remove the sensitive attributes and generate the abundant records to achieve the goal of privacy protection. In the big data environment, they cannot satisfy some data mining tasks with privacy considerations. This paper provides a new data publishing framework. It can preserve the data integrity, i.e., the original data structure is preserved, and it doesn't require deleting any attribute and adding k-times data to achieve anonymity.
Encryption, Publishing, Databases, Data mining, Privacy
J. Yang, Z. Liu, C. Jia, K. Lin and Z. Cheng, "New Data Publishing Framework in the Big Data Environments," 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), Guangdong, China, 2014, pp. 363-366.