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A Privacy Preservation Model for Facebook-Style Social Network Systems

Open access
Fong, Philip W. L., Anwar, Mohd, Zhao, Zhen·2009·Lecture Notes in Computer Science

Abstract

Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind the privacy preservation mechanism of Facebook is distinctly different from such existing access control paradigms as Discretionary Access Control, Role-Based Access Control, Capability Systems, and Trust Management Systems. This work takes a first step in deepening the understanding of this access control paradigm, by proposing an access control model that formalizes and generalizes the privacy preservation mechanism of Facebook. The model can be instantiated into a family of Facebook-style social network systems, each with a recognizably different access control mechanism, so that Facebook is but one instantiation of the model. We also demonstrate that the model can be instantiated to express policies that are not currently supported by Facebook but possess rich and natural social significance. This work thus delineates the design space of privacy preservation mechanisms for Facebook-style social network systems, and lays out a formal framework for policy analysis in these systems.

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Metadata

Authors
Fong, P. W. L., Anwar, M., & Zhao, Z.
Venue
Lecture Notes in Computer Science
Published
2009
Pages
303-320
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1555093693
Cited by
196
References
5
FWCI
43.91
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Privacy Preservation Model for Facebook-Style Social Network Systems. https://app.cochat.ai/papers/10.1007/978-3-642-04444-1_19
The paper
Fong, P. W. L., Anwar, M., & Zhao, Z. (2009). A Privacy Preservation Model for Facebook-Style Social Network Systems. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-04444-1_19

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.