Trust Evaluation with Deep Learning in Online Social Networks: A State-of-the-Art Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5588-2_1
Reference27 articles.
1. Kumar, S., Revathy, S.: Review on social network trust with respect to big data analytics. In: 2020 4th International Conference on Trends in Electronics and Informatics, Tirunelveli, India, pp. 721–727. IEEE (2020)
2. Fang, W., Cui, N., Chen, W., Zhang, W., Chen, Y.: A trust-based security system for data collection in smart city. IEEE Trans. Ind. Inf. 17(6), 4131–4140 (2021)
3. Li, Z., Fang, W., Zhu, C., Gao, Z., Zhang, W.: AI-enabled trust in distributed networks. IEEE Access 11, 88116–88134 (2023)
4. Fang, W., Zhu, C., Yu, F.R., Wang, K., Zhang, W.: Towards energy-efficient and secure data transmission in AI-enabled software defined industrial networks. IEEE Trans. Ind. Inf. 18(6), 4265–4274 (2022)
5. Niu, X., Liu, G., Yang, Q.: Trustworthy website detection based on social hyperlink network analysis. IEEE Trans. Netw. Sci. Eng. 7(1), 54–65 (2018)
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