PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

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• Ravn, S., Barnwell, A., & Neves, B. B. (2019). What is “publicly available data”? exploring blurred public-private boundaries and ethical practices through a case study on Instagram. Journal of Empirical Research on Human Research Ethics, 15(1-2), 40-45. https://doi.org/10.1177/1556264619850736

• Rehman, S. U., Manickam, S., & Al-Charchafchi, A. (2022). Privacy calculus model for online social networks: A study of Facebook users in a Malaysian University. Education and Information Technologies, 28, 7205-7223. https://doi.org/10.1007/s10639-022-11459-w

• Reza, K. J., Islam, M. Z., & Estivill-Castro, V. (2020). Protection of user-defined sensitive attributes on online social networks against attribute inference attack via adversarial data mining. In Information Systems Security and Privacy: 5th International Conference, ICISSP 2019 (pp. 230-249). Springer International Publishing. https://doi.org/10.1007/978-3-030-49443-8_11

• Salim, S., Turnbull, B., & Moustafa, N. (2022). Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems. Ad Hoc Networks, 128, Article 102786. https://doi.org/10.1016/j.adhoc.2022.102786

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• Vu, D. H. (2022). Privacy-preserving Naive Bayes classification in semi-fully distributed data model. Computers & Security, 115, Article 102630. https://doi.org/10.1016/j.cose.2022.102630

• Vu, D. H., Vu, T. S., & Luong, T. D. (2022). An efficient and practical approach for privacy-preserving Naive Bayes classification. Journal of Information Security and Applications, 68, Article 103215. https://doi.org/10.1016/j.jisa.2022.103215

• Wibawa, A. P., Kurniawan, A. C., Murti, D. M., Adiperkasa, R. P., Putra, S. M., Kurniawan, S. A., & Nugraha, Y. R. (2019). Naïve Bayes classifier for journal quartile classification. International Journal of Recent Contributions from Engineering, Science & IT (IJES), 7(2), 91-99. https://doi.org/10.3991/ijes.v7i2.10659

• Wu, J., Li, W., Bai, Q., Iko, T., & Moustafa, A. (2021). Privacy information classification: A hybrid approach. ArXiv Preprint. https://doi.org/10.48550/arXiv.2101.11574

• Zanella-Béguelin, S., Wutschitz, L., & Tople, S. (2022). Bayesian estimation of differential privacy. ArXiv Preprint. https://doi.org/10.48550/arXiv.2206.05199