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
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;
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
DOI :
10.1109/DBTA.2010.5658931