Abstract
This paper investigates the problem of suppressing access to sensitive linkage information over data published by users of an online social network service. We unveil the potential threats by inferring linkage information from the user-published data, and suggest a class of data publishing schemes to enable distributed data publication by individual users but hide the sensitive information. Our hope is that this white paper shed lights on the future investigation of privacy-preserving online social network services.
This work was supported in part by the National Science Foundation under 0644247, 0845644, 0852673, 0852674, and 0907964. Any opinions, findings, conclusions, and/or recommendations expressed in this material, either expressed or implied, are those of the authors and do not necessarily reflect the views of the sponsor listed above.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, N., Song, M., Fu, X., Yu, W. (2009). Discovery and Protection of Sensitive Linkage Information for Online Social Networks Services. In: Liu, B., Bestavros, A., Du, DZ., Wang, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2009. Lecture Notes in Computer Science, vol 5682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03417-6_56
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DOI: https://doi.org/10.1007/978-3-642-03417-6_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03416-9
Online ISBN: 978-3-642-03417-6
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