The dependability of visual information on the web and the authenticity of digital media appearing virally in social media platforms has been raising unprecedented concerns. As a result, in the last years the multimedia forensics research community pursued the ambition to scale the forensic analysis to real-world web-based open systems. This survey aims at describing the work done so far on the analysis of shared data, covering three main aspects: forensics techniques performing source identification and integrity verification on media uploaded on social networks, platform provenance analysis allowing to identify sharing platforms, and multimedia verification algorithms assessing the credibility of media objects in relation to its associated textual information. The achieved results are highlighted together with current open issues and research challenges to be addressed in order to advance the field in the next future.
Dettaglio pubblicazione
2021, EURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY, Pages - (volume: 2021)
Media forensics on social media platforms: a survey (01a Articolo in rivista)
Pasquini C., Amerini I., Boato G.
Gruppo di ricerca: Computer Vision, Computer Graphics, Deep Learning, Gruppo di ricerca: Cybersecurity, Gruppo di ricerca: Theory of Deep Learning
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