Privacy-Preserving Techniques for Social Network Analysis

• André L. C. Mendonça Universidade Federal do Ceará (UFC)
• Felipe T. Brito Universidade Federal do Ceará (UFC)
• Javam C. Machado Universidade Federal do Ceará (UFC)

DOI: https://doi.org/10.5753/sbbd_estendido.2023.25632

Resumo

With the increasing concerns over data privacy, preserving the privacy of individuals in social network analysis has become crucial. This tutorial provides a comprehensive overview of methods and techniques to protect individual privacy while conducting social network analysis. We perform a deep analysis of differential privacy, which is a rigorous mathematical framework to protect individual privacy while enabling accurate analysis of network structure and characteristics. Additionally, this tutorial explores a variety of examples and case studies to demonstrate the application of these techniques in practical scenarios.

Palavras-chave: Differential Privacy, Social Network Analysis

Referências

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