My friend leaks my privacy: Modeling and analyzing privacy in social networks

Lingjing Yu, Sri Mounica Motipalli, Dongwon Lee, Peng Liu, Heng Xu, Qingyun Liu, Jianlong Tan, Bo Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With the dramatically increasing participation in online social networks (OSNs), huge amount of private information becomes available on such sites. It is critical to preserve users' privacy without preventing them from socialization and sharing. Unfortunately, existing solutions fall short meeting such requirements. We argue that the key component of OSN privacy protection is protecting (sensitive) content - privacy as having the ability to control information dissemination. We follow the concepts of private information boundaries and restricted access and limited control to introduce a social circle model.We articulate the formal constructs of this model and the desired properties for privacy protection in the model. We show that the social circle model is efficient yet practical, which provides certain level of privacy protection capabilities to users, while still facilitates socialization. We then utilize this model to analyze the most popular social network platforms on the Internet (Facebook, Google+, WeChat, etc), and demonstrate the potential privacy vulnerabilities in some social networks. Finally, we discuss the implications of the analysis, and possible future directions.

Original languageEnglish (US)
Title of host publicationSACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies
PublisherAssociation for Computing Machinery
Pages93-104
Number of pages12
ISBN (Electronic)9781450356664
DOIs
StatePublished - Jun 7 2018
Event23rd ACM Symposium on Access Control Models and Technologies, SACMAT 2018 - Indianapolis, United States
Duration: Jun 13 2018Jun 15 2018

Publication series

NameProceedings of ACM Symposium on Access Control Models and Technologies, SACMAT

Other

Other23rd ACM Symposium on Access Control Models and Technologies, SACMAT 2018
CountryUnited States
CityIndianapolis
Period6/13/186/15/18

Fingerprint

Information dissemination
Internet

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Information Systems

Cite this

Yu, L., Motipalli, S. M., Lee, D., Liu, P., Xu, H., Liu, Q., ... Luo, B. (2018). My friend leaks my privacy: Modeling and analyzing privacy in social networks. In SACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies (pp. 93-104). (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT). Association for Computing Machinery. https://doi.org/10.1145/3205977.3205981
Yu, Lingjing ; Motipalli, Sri Mounica ; Lee, Dongwon ; Liu, Peng ; Xu, Heng ; Liu, Qingyun ; Tan, Jianlong ; Luo, Bo. / My friend leaks my privacy : Modeling and analyzing privacy in social networks. SACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies. Association for Computing Machinery, 2018. pp. 93-104 (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT).
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abstract = "With the dramatically increasing participation in online social networks (OSNs), huge amount of private information becomes available on such sites. It is critical to preserve users' privacy without preventing them from socialization and sharing. Unfortunately, existing solutions fall short meeting such requirements. We argue that the key component of OSN privacy protection is protecting (sensitive) content - privacy as having the ability to control information dissemination. We follow the concepts of private information boundaries and restricted access and limited control to introduce a social circle model.We articulate the formal constructs of this model and the desired properties for privacy protection in the model. We show that the social circle model is efficient yet practical, which provides certain level of privacy protection capabilities to users, while still facilitates socialization. We then utilize this model to analyze the most popular social network platforms on the Internet (Facebook, Google+, WeChat, etc), and demonstrate the potential privacy vulnerabilities in some social networks. Finally, we discuss the implications of the analysis, and possible future directions.",
author = "Lingjing Yu and Motipalli, {Sri Mounica} and Dongwon Lee and Peng Liu and Heng Xu and Qingyun Liu and Jianlong Tan and Bo Luo",
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Yu, L, Motipalli, SM, Lee, D, Liu, P, Xu, H, Liu, Q, Tan, J & Luo, B 2018, My friend leaks my privacy: Modeling and analyzing privacy in social networks. in SACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies. Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT, Association for Computing Machinery, pp. 93-104, 23rd ACM Symposium on Access Control Models and Technologies, SACMAT 2018, Indianapolis, United States, 6/13/18. https://doi.org/10.1145/3205977.3205981

My friend leaks my privacy : Modeling and analyzing privacy in social networks. / Yu, Lingjing; Motipalli, Sri Mounica; Lee, Dongwon; Liu, Peng; Xu, Heng; Liu, Qingyun; Tan, Jianlong; Luo, Bo.

SACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies. Association for Computing Machinery, 2018. p. 93-104 (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yu L, Motipalli SM, Lee D, Liu P, Xu H, Liu Q et al. My friend leaks my privacy: Modeling and analyzing privacy in social networks. In SACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies. Association for Computing Machinery. 2018. p. 93-104. (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT). https://doi.org/10.1145/3205977.3205981