Analyzing the Robustness of a Comprehensive Trust-Based Model for Online Social Networks Against Privacy Attacks
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-65347-7_53
Reference17 articles.
1. Voloch, N., Levy, P., Elmakies, M., Gudes, E.: A role and trust access control model for preserving privacy and image anonymization in social networks. In: IFIPTM 2019 - 13th IFIP WG 11.11 International Conference on Trust Management (2019)
2. Voloch, N., Levy, P., Elmakies, M., Gudes, E.: An access control model for data security in online social networks based on role and user credibility. In: International Symposium on Cyber Security Cryptography and Machine Learning (CSCML 2019). Springer, Cham (2019)
3. Gudes, E., Voloch, N.: An information-flow control model for online social networks based on user-attribute credibility and connection-strength factors. In: CSCML 2018, 2nd International Symposium on Cyber Security Cryptography and Machine Learning (2018)
4. Voloch, N., Gudes, E.: An MST-based information flow model for security in online social networks. In: The 11th IEEE International Conference on Ubiquitous and Future Networks (ICUFN 2019) (2019)
5. Heatherly, R., Kantarcioglu, M., Thuraisingham, B.: Preventing private information inference attacks on social networks. IEEE Trans. Knowl. Data Eng. 25(8), 1849–1862 (2012)
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