MetaPriv: Acting in Favor of Privacy on Social Media Platforms

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Social networks such as Facebook (Since October 2021 is also known as META) (FB) and Instagram are known for tracking user online behaviour for commercial gain. To this day, there is practically no other way of achieving privacy in said platforms other than renouncing their use. However, many users are reluctant in doing so because of convenience or social and professional reasons. In this work, we propose a means of balancing convenience and privacy on FB through obfuscation. We have created MetaPriv, a tool based on simulating user interaction with FB. MetaPriv allows users to add noise interactions to their account so as to lead FB’s profiling algorithms astray, and make them draw inaccurate profiles in relation to their interests and habits. To prove our tool’s effectiveness, we ran extensive experiments on a dummy account and two existing user accounts. Our results showed that, by using our tool, users can achieve a higher degree of privacy in just a couple of weeks. We believe that MetaPriv can be further developed to accommodate other social media platforms and help users regain their privacy, while maintaining a reasonable level of convenience. To support open science and reproducible research, our source code is publicly available online.

Original languageEnglish
Title of host publicationSecurity and Privacy in Communication Networks
Subtitle of host publication18th EAI International Conference, SecureComm 2022, Proceedings
EditorsFengjun Li, Kaitai Liang, Zhiqiang Lin, Sokratis K. Katsikas
Number of pages18
ISBN (Print)9783031255373
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventInternational Conference on Security and Privacy in Communication Systems - , United States
Duration: 17 Oct 202219 Oct 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume462 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


ConferenceInternational Conference on Security and Privacy in Communication Systems
Country/TerritoryUnited States


  • Metaverse
  • Obfuscation
  • Online profiling
  • Privacy
  • Recommendation systems
  • Social networks

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications


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