Knowledge-sharing and influence in online social networks via viral marketing
Communications of the ACM - Mobile computing opportunities and challenges
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
What Anyone Can Know: The Privacy Risks of Social Networking Sites
IEEE Security and Privacy
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Robust De-anonymization of Large Sparse Datasets
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Community evolution in dynamic multi-mode networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Collective privacy management in social networks
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Persona: an online social network with user-defined privacy
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
De-anonymizing Social Networks
SP '09 Proceedings of the 2009 30th IEEE Symposium on Security and Privacy
On the leakage of personally identifiable information via online social networks
ACM SIGCOMM Computer Communication Review
Privacy wizards for social networking sites
Proceedings of the 19th international conference on World wide web
A Practical Attack to De-anonymize Social Network Users
SP '10 Proceedings of the 2010 IEEE Symposium on Security and Privacy
Social media as crisis platform: The future of community maps/crisis maps
ACM Transactions on Intelligent Systems and Technology (TIST)
TrustSplit: usable confidentiality for social network messaging
Proceedings of the 23rd ACM conference on Hypertext and social media
Analysis of vulnerability to facebook users
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Understanding online groups through social media
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A tool for collecting provenance data in social media
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Addressing the concerns of the lacks family: quantification of kin genomic privacy
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
A time-evolution model for the privacy degree of information disseminated in online social networks
International Journal of Communication Networks and Distributed Systems
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As (one's) social network expands, a user's privacy protection goes beyond his privacy settings and becomes a social networking problem. In this research, we aim to address some critical issues related to privacy protection: Would the highest privacy settings guarantee a secure protection? Given the open nature of social networking sites, is it possible to manage one's privacy protection? With the diversity of one's social media friends, how can one figure out an effective approach to balance between vulnerability and privacy? We present a novel way to define a vulnerable friend from an individual user's perspective is dependent on whether or not the user's friends' privacy settings protect the friend and the individual's network of friends (which includes the user). As a single vulnerable friend in a user's social network might place all friends at risk, we resort to experiments and observe how much security an individual user can improve by unfriending a vulnerable friend. We also show how privacy weakens if newly accepted friends are unguarded or unprotected. This work provides a large-scale evaluation of new security and privacy indexes using a Facebook dataset. We present and discuss a new perspective for reasoning about social networking security. When a user accepts a new friend, the user should ensure that the new friend is not an increased security risk with the potential of negatively impacting the entire friend network. Additionally, by leveraging the indexes proposed and employing new strategies for unfriending vulnerable friends, it is possible to further improve security and privacy without changing the social networking site's existing architecture.