Analysis of privacy in online social networks of runet
Proceedings of the 3rd international conference on Security of information and networks
The socialbot network: when bots socialize for fame and money
Proceedings of the 27th Annual Computer Security Applications Conference
Measuring node importance on Twitter microblogging
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
All your face are belong to us: breaking Facebook's social authentication
Proceedings of the 28th Annual Computer Security Applications Conference
International Journal of Wireless Networks and Broadband Technologies
Design and analysis of a social botnet
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Analysis of Query Forwarding Strategies for Secure and Privacy-Preserving Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
The influential factors for the variation of data sensitivity in ubiquitous social networking
International Journal of Wireless and Mobile Computing
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In this paper, we present a case study describing the privacy and trust that exist within a small population of online social network users. We begin by formally characterizing different graphs in social network sites like Facebook. We then determine how often people are willing to divulge personal details to an unknown online user, an adversary. While most users in our sample did not share sensitive information when asked by an adversary, we found that more users were willing to divulge personal details to an adversary if there is a mutual friend connected to the adversary and the user. We then summarize the results and observations associated with this Facebook case study.