Recently, social networks have become the largest and fastest growing websites on the Internet. These platforms contain sensitive and personal data of hundreds of millions of people, and are integrated also into millions of other websites so it is more and more important to focus on security and privacy issues. In this work, we expose the defamation issue in the social network context and apply some known methods to recover data of person who offends reputation of others over 250 different social media frameworks. The datasets, that it is possible to exploit, can contain various profile information (user data, photos, etc.) and associated meta-data (internal timestamps and unique identifiers). These data are significant in the field of digital forensics to be properly used as evidences in front of Court.
CITATION STYLE
Nastasi, C., & Battiato, S. (2021). Defamation 2.0: New Threats in Digital Media Era - An Overview on Forensics Approaches in the Social Network Ecosystem. In Proceedings of the International Conference on Image Processing and Vision Engineering, IMPROVE 2021 (pp. 121–127). SciTePress. https://doi.org/10.5220/0010463601210127
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