Why Secure Applications Are Difficult to Write
IEEE Security and Privacy
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social applications: exploring a more secure framework
Proceedings of the 5th Symposium on Usable Privacy and Security
Social Network Privacy via Evolving Access Control
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
A Literature Review of Privacy Research on Social Network Sites
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01
Enabling Secure Secret Sharing in Distributed Online Social Networks
ACSAC '09 Proceedings of the 2009 Annual Computer Security Applications Conference
Users' (mis)conceptions of social applications
Proceedings of Graphics Interface 2010
Privacy and security for online social networks: challenges and opportunities
IEEE Network: The Magazine of Global Internetworking
Safebook: A privacy-preserving online social network leveraging on real-life trust
IEEE Communications Magazine
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Online Social Networks (OSNs) provide new ways for people to communicate with one another and to share content. OSNs have become quite popular among the general population but their rapid growth has raised concerns about privacy and security. Many predict that the OSNs of today provide a glimpse of the future Internet infrastructure. Whether or not that will be true is difficult to say but what is certain is that the privacy, integrity, and security issues and concerns need to be addressed now. In fact, the mainstream media have uncovered a rising number of potential and occurring problems, including: identity theft, unauthorized sharing of private information, malicious behavior of OSN services and applications, and so on. This paper addresses several important security and privacy issues by focusing on one of the core concepts of OSNs; the user profile, which both includes private and public information that the user shares to different parties and the customized security and privacy settings of the user. We present a method for comparing user profiles, by measuring the distance between the profiles in metric space, and for determining how well an OSN application conforms to user privacy settings. We report on a case study in which the proposed method is applied to Facebook to demonstrate the applicability of the method as well as to motivate its theoretical foundation.