DocumentCode
3451261
Title
Anonymizing Path Nodes in Social Network
Author
Wenlue Song ; Yan Zhang ; Wenyang Bai
Author_Institution
State Key Lab. of Novel Software Technol., Nanjing, China
fYear
2010
fDate
27-28 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Recently, social network privacy becomes a hot issue in the field of privacy. We are concerned about the path nodes in the social network. With the knowledge of the two endpoints of a path, the adversary can attack the privacy of the nodes on this path. In this paper, we define the adversary´s background knowledge, propose the anonymity model, and propose PN- Anonymity algorithm to adjust paths. Experimental results show that our algorithms can achieve the path nodes anonymous, and information loss can be well controlled to ensure the availability of information.
Keywords
data privacy; graph theory; social networking (online); PN-anonymity algorithm; adversary background knowledge; anonymity model; information loss; path nodes; social network privacy; Data mining; Diseases; Lead; Privacy; Probability; Research and development; Social network services;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6975-8
Electronic_ISBN
978-1-4244-6977-2
Type
conf
DOI
10.1109/DBTA.2010.5658931
Filename
5658931
Link To Document