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ORIGINAL RESEARCH article

Front. Comput. Sci.
Sec. Software
Volume 6 - 2024 | doi: 10.3389/fcomp.2024.1389223
This article is part of the Research Topic Human-Centered Approaches in Modern Software Engineering View all 4 articles

FHG-PR: A Hybridized Fuzzy-AHP and Game Theory Model for Assessing Privacy Risk on Social Media Platforms

Provisionally accepted
Olorunjube Falana Olorunjube Falana 1*Trust Ojeaga Trust Ojeaga 1Hamad Maeem Hamad Maeem 2Dada O. Aborisade Dada O. Aborisade 1Amjad Alsirhani Amjad Alsirhani 3Faeiz Alserhani Faeiz Alserhani 4
  • 1 Federal University of Agriculture, Abeokuta, Abeokuta, Nigeria
  • 2 Department of Computer Science, College of Computer Sciences and Information Technology (CCSIT), King Faisal University, Al-Ahsa, Saudi Arabia, Hofuf, Saudi Arabia
  • 3 Dalhousie University, Halifax, Nova Scotia, Canada
  • 4 Jouf University, Sakakah, Al Jawf, Saudi Arabia

The final, formatted version of the article will be published soon.

    Social media platforms have become integral to our daily lives, enabling global connectivity and interaction. However, the voluntary sharing of personal information on these platforms introduces significant privacy risks, highlighting the need for effective risk assessment mechanisms. Existing research often addresses broad risk mitigation strategies but lacks a focused assessment of specific platforms like Meta and X. This paper introduces a hybrid privacy risk assessment model combining fuzzy Analytical Hierarchy Process (AHP) and game theory to evaluate and mitigate privacy invasion risks on these platforms. By surveying social media users and professionals to prioritize determinant criteria, the study applies fuzzy AHP to weigh these criteria and utilizes a multi-criteria decision-making (MCDM) framework based on cooperative game theory to propose alternative strategies for risk reduction. The findings demonstrate that the proposed model offers practical strategic options to reduce privacy breaches of sensitive data on social media.

    Keywords: Sensitive data, Social Media, Privacy, analytical hierarchy process, Game, risk

    Received: 21 Feb 2024; Accepted: 20 Sep 2024.

    Copyright: © 2024 Falana, Ojeaga, Maeem, Aborisade, Alsirhani and Alserhani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Olorunjube Falana, Federal University of Agriculture, Abeokuta, Abeokuta, Nigeria

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.