A privacy-preserving model to control social interaction behaviors in social network sites

Sanaz Kavianpour, Ali Tamimi, Bharanidharan Shanmugam

    Research output: Contribution to journalArticlepeer-review

    41 Downloads (Pure)

    Abstract

    Social Network Sites (SNSs) served as an invaluable platform to transfer information across a large number of users. SNSs also disseminate users data to third-parties to provide more interesting services for users as well as gaining profits. Users grant access to third-parties to use their services, although they do not necessarily protect users’ data privacy. Controlling social network data diffusion among users and third-parties is difficult due to the vast amount of data. Hence, undesirable users’ data diffusion to unauthorized parties in SNSs may endanger users’ privacy. This paper highlights the privacy breaches on SNSs and emphasizes the most significant privacy issues to users. The goals of this paper are to i) propose a privacy-preserving model for social interactions among users and third-parties; ii) enhance users’ privacy by providing access to the data for appropriate third-parties. These advocate to not compromising the advantages of SNSs information sharing functionalities.

    Original languageEnglish
    Article number102402
    Pages (from-to)1-8
    Number of pages8
    JournalJournal of Information Security and Applications
    Volume49
    DOIs
    Publication statusPublished - Dec 2019

    Fingerprint

    Dive into the research topics of 'A privacy-preserving model to control social interaction behaviors in social network sites'. Together they form a unique fingerprint.

    Cite this