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Securing Social Networks: Insights from Simulation-Based Analysis on Information Leakage
  • Helmi Ashraf,
  • Nurfatin Masyura Esamustafaruden
Helmi Ashraf
Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, UiTM Tapah

Corresponding Author:[email protected]

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Nurfatin Masyura Esamustafaruden
Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, UiTM Tapah

Abstract

With the rise of social networking sites (SNS), a growing concern has emerged regarding the unintentional disclosure of sensitive information, also known as information leakage. This study investigates the causes and consequences of information leakage on SNS through a simulation-based approach. A virtual environment replicating user interactions and data sharing patterns on popular platforms was developed, simulating various scenarios involving unintentional data disclosure, malicious actor activity, and data breaches. The results revealed that oversharing and weak privacy settings were the most common causes of information leakage, while social engineering attacks and data breaches also posed significant risks. The study highlights the importance of user education, improved platform security, and robust privacy controls to mitigate the risks associated with information leakage on SNS.
27 Dec 2023Submitted to TechRxiv
02 Jan 2024Published in TechRxiv