DocumentCode :
3199898
Title :
Security and privacy in online social networks: A survey
Author :
Joshi, Prateek ; Kuo, C. C Jay
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fYear :
2011
fDate :
11-15 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
Social networking becomes increasingly important due to the recent surge in online interaction. Social network analysis can be used to study the functioning of computer networks, information flow patterns in communities, and emergent behavior of physical and biological systems. In this paper, the mathematical formulation and computational models for security and privacy of social network data are discussed. Several possible ways for an attacker to attack are presented so that the mathematical formulation can take them into account. The metrics for measuring the amount of security and privacy in an online social network (OSN) are discussed so that we have an idea of how good a model is. Based on these current techniques and attack strategies, future directions of research are discussed.
Keywords :
data privacy; security of data; social networking (online); biological systems; information flow patterns; online interaction; online social network privacy; online social network security; physical systems; social network analysis; Data privacy; Peer to peer computing; Privacy; Publishing; Security; Social network services; anonymization; data mining; deanonymization; link prediction; privacy; security; social network graph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1945-7871
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2011.6012166
Filename :
6012166
Link To Document :
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