Secure Trust-Based Attribute Access Control Mechanism Using FK-MFCMC and MOEHO-XGBOOST Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8451-0_37
Reference17 articles.
1. Wang J, Wang H, Zhang H, Cao N (2017) Trust and attribute-based dynamic access control model for internet of things. In: 2017 international conference on cyber-enabled distributed computing and knowledge discovery, Nanjing, China, 12–14 Oct 2017
2. Sun K, Yin L (2014) Attribute-role-based hybrid access control in the internet of things. Asia-Pacific Web Conf. https://doi.org/10.1007/978-3-319-11119-3_31
3. Hassan MM, Huda S, Sharmeen S, Abawajy J, Fortino G (2020) An adaptive trust boundary protection for IIoT networks using deep learning feature extraction based semi-supervised model. IEEE Trans Ind Inform 17(4):2860–2870
4. Liu A, Du X, Wang N (2021) Efficient access control permission decision engine based on machine learning. Secur Commun Netw. https://doi.org/10.1155/2021/3970485
5. Jayasinghe U, Lee GM, Um T-W, Shi Q (2018) Machine learning based trust computational model for IoT services. IEEE Trans Sustain Comput 4(1):39–52
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