Abstract
The GDPR (General Data Protection Regulation) is a regulation for data protection and privacy for citizens of the EU. It also addresses the export of personal data outside the EU, thus creating a regulation the affects most, as all, of the commercial companies, government institutions, and other sectors that maintain personal information of their customers or audiences. Social Networks are, of course, major interested parties both for the GDPR since their core definitions involve both private user’s information, and data ownership issues. Thus, there is an urgent need for a sustainable and reliable privacy model for these networks, that does not currently exist. In our previous research we have devised a comprehensive Trust-based model for security in Social Networks, that uses Trust, Access Control and Flow Control. In this paper we use this model, and add an element of context to it, for creating an implementation in Social Networks, that will better enforce the GDPR and rights management regulations.
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Voloch, N., Gudes, E., Gal-Oz, N. (2021). Implementing GDPR in Social Networks Using Trust and Context. In: Dolev, S., Margalit, O., Pinkas, B., Schwarzmann, A. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2021. Lecture Notes in Computer Science(), vol 12716. Springer, Cham. https://doi.org/10.1007/978-3-030-78086-9_36
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DOI: https://doi.org/10.1007/978-3-030-78086-9_36
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