A closer look at third-party OSN applications: Are they leaking your personal information?

Abdelberi Chaabane, Yuan Ding, Ratan Dey, Mohamed Ali Kaafar, Keith W. Ross

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

    Abstract

    We examine third-party Online Social Network (OSN) applications for two major OSNs: Facebook and RenRen. These third-party applications typically gather, from the OSN, user personal information. We develop a measurement platform to study the interaction between OSN applications and fourth parties. We use this platform to study the behavior of 997 Facebook applications and 377 RenRen applications. We find that the Facebook and RenRen applications interact with hundreds of different fourth-party tracking entities. More worrisome, 22% of Facebook applications and 69% of RenRen applications provide users' personal information to one or more fourth-party tracking entities.

    Original languageEnglish (US)
    Title of host publicationPassive and Active Measurement - 15th International Conference, PAM 2014, Proceedings
    PublisherSpringer Verlag
    Pages235-246
    Number of pages12
    ISBN (Print)9783319049175
    DOIs
    StatePublished - 2014
    Event15th International Conference on Passive and Active Measurement, PAM 2014 - Los Angeles, CA, United States
    Duration: Mar 10 2014Mar 11 2014

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8362 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other15th International Conference on Passive and Active Measurement, PAM 2014
    CountryUnited States
    CityLos Angeles, CA
    Period3/10/143/11/14

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    Chaabane, A., Ding, Y., Dey, R., Kaafar, M. A., & Ross, K. W. (2014). A closer look at third-party OSN applications: Are they leaking your personal information? In Passive and Active Measurement - 15th International Conference, PAM 2014, Proceedings (pp. 235-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8362 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-04918-2_23