Abstract
As social networks sites continue to proliferate and are being used for an increasing variety of purposes, the privacy risks raised by the full access of social networking sites over user data become uncomfortable. A decentralized social network would help alleviate this problem, but offering the functionalities of social networking sites is a distributed manner is a challenging problem. In this paper, we provide techniques to instantiate one of the core functionalities of social networks: discovery of paths between individuals. Our algorithm preserves the privacy of relationship information, and can operate offline during the path discovery phase. We simulate our algorithm on real social network topologies.
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Mezzour, G., Perrig, A., Gligor, V., Papadimitratos, P. (2009). Privacy-Preserving Relationship Path Discovery in Social Networks. In: Garay, J.A., Miyaji, A., Otsuka, A. (eds) Cryptology and Network Security. CANS 2009. Lecture Notes in Computer Science, vol 5888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10433-6_13
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DOI: https://doi.org/10.1007/978-3-642-10433-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10432-9
Online ISBN: 978-3-642-10433-6
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