Abstract
Access control is an important component of information security system. It protects resources from unauthorized users or misuses by authorized users. Yet, the security of cipher-based access control may be compromised due to its fixed and predefined features. As an intelligent computing technology that simulates human behavior, trust evaluation can be an effective method for capturing users’ unpredictable actions. Trust-based access control is a better method for tracking dynamic user behavior. Researchers are becoming increasingly enthusiastic in integrating Intelligent Computing concepts with access control. However, there is no article that covers all aspects of trust-based access control. Therefore, a comprehensive survey in this area of study is desperately needed. In this paper, we will investigate a novel approach to access control with trust. Access control is thus becoming more secure by incorporating trust evaluation. Furthermore, we will demonstrate how trust can be used to enhance access control secure by combining it with other intelligent computing technology like game theory.
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References
Sun, P.: Research on cloud computing service based on trust access control. Int. Journal of Engineering Business Management 12, 1847979019897444 (2020)
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. Industr. Inf. 18(6), 4265–4274 (2022)
Sakthivel, S., Vidhya, G.: A trust-based access control mechanism for intra-sensor network communication in internet of things. Arab. J. Sci. Eng. 46(4), 3147–3153 (2020)
Li, Z., Fang, W., Zhu, C., Gao, Z., Zhang, W.: AI-Enabled trust in distributed networks. IEEE Access 11, 88116–88134 (2023)
Zhang, W., Sun, H., Fang, W., Zhu, C., Jia, G.: Trust evaluation and decision based on D-S evidence theory: early models and future perspectives. IEEE Access 11, 16032–16041 (2023)
Fang, W., Zhang, W., Yang, W., Li, Z., Gao, W., Yang, Y.: Trust management-based and energy efficient hierarchical routing protocol in wireless sensor networks. Digit. Commun. Netw. 7(4), 470–478 (2021)
Zhao, B., Xiao, C., Zhang, Y., Zhai, P.: Assessment of recommendation trust for access control in open networks. Cluster Comput 22(Suppl 1), 565–571 (2019). https://doi.org/10.1007/s10586-017-1338-x
Yu, W., Zhang, L., Xu, Q.: Real-time reliability access control based on rail traffic data platform. Electronics 12(5), 1105 (2023)
El Sibai, R., Gemayel, N., Bou Abdo, J., Demerjian, J.: A survey on access control mechanisms for cloud computing. Trans. Emerg. Telecommun. Technol. 31(2), e3720 (2020)
Saxena, U.R., Alam, T.: Provisioning trust-oriented role-based access control for maintaining data integrity in cloud. Int. J. Syst. Assur. Eng. Manag. 14(6), 2559–2578 (2023)
Khan, A.J., Mehfuz, S.: Fuzzy user access trust model for cloud access control. Comput. Syst. Sci. Eng. 44(1), 113–128 (2023)
Kesarwani, A., Khilar, P.M.: Development of trust based access control models using fuzzy logic in cloud computing. J. King Saud Univ.-Comput. Inf. Sci. 34(5), 1958–1967 (2022)
Han, H.: Research on adaptive relationship between trust and privacy in cloud service. IEEE Access 9, 43214–43227 (2021)
Li, X., Ma, H., Zhou, F., Gui, X.: Service operator-aware trust scheme for resource matchmaking across multiple clouds. IEEE Trans. Parallel Distrib. Syst. 26(5), 1419–1429 (2015)
Pathak, A., Al-Anbagi, I., Hamilton, H.J.: TABI: trust-based ABAC mechanism for edge-IoT using blockchain technology. IEEE Access 11, 36379–36398 (2023)
Fang, W., Cui, N., Chen, W., Zhang, W., Chen, Y.: A trust-based security system for data collection in smart city. IEEE Trans. Industr. Inf. 17(6), 4131–4140 (2021)
Wang, P., Xu, N., Zhang, H., Sun, W., Benslimane, A.: Dynamic access control and trust management for blockchain-empowered IoT. IEEE Internet Things J. 9(15), 12997–13009 (2021)
Huang, W., Xie, X., Wang, Z., Feng, J., Han, G., Zhang, W.: ZT-Access: a combining zero trust access control with attribute-based encryption scheme against compromised devices in power IoT environments. Ad Hoc Netw. 145(1), 103161 (2023)
Hao, X., Ren, W., Fei, Y., Zhu, T., Choo, K.K.R.: A blockchain-based cross-domain and autonomous access control scheme for internet of things. IEEE Trans. Serv. Comput. 16(2), 773–786 (2022)
Esposito, C., Tamburis, O., Su, X., Choi, C.: Robust decentralised trust management for the internet of things by using game theory. Inf. Process. Manage. 57(6), 102308 (2020)
Fang, W., Zhang, W., Chen, W., Pan, T., Ni, Y., Yang, Y.: Trust-based attack and defense in wireless sensor networks: a survey. Wirel. Commun. Mob. Comput. 2020, 1–20 (2020)
Patwary, A.A.N., et al.: Towards secure fog computing: a survey on trust management, privacy, authentication, threats and access control. Electronics 10(10), 1171 (2021)
Zheng, W., Chen, B., He, D.: An adaptive access control scheme based on trust degrees for edge computing. Comput. Stan. Interfaces 82, 103640 (2022)
Sun, Y., Jiang, W., Yang, Y., Zhu, H., Jiang, Y.: Multi-domain authorization and decision-making method of access control in the edge environment. Comput. Netw. 228, 109721 (2023)
Minmin, H., Lingyun, Y., Xue, P., Chuan, Z.: Trusted edge and cross-domain privacy enhancement model under multi-blockchain. Comput. Netw. 234, 109881 (2023)
Fang, W., Zhu, C., Zhang, W.: Toward secure and lightweight data transmission for cloud–edge–terminal collaboration in artificial intelligence of things. IEEE Internet Things J. 11(1), 105–113 (2024)
Fang, W., Yi, L., Zhu, C., Jia, G., Zhang, W.: Trusted multi-layer connected dominating set for secure routing in distributed networks. In: Proceedings of GLOBECOM 2022 - 2022 IEEE Global Communications Conference, pp. 2728–2732. Rio de Janeiro-RJ, Brazil (2022)
Acknowledgments
This work was funded in part by the National Natural Science Foundation of China (grant number 62071450), in part by the Shanghai Natural Science Foundation (grant number 21ZR1461700), and in part by the Key Research and Development Task Special Project of the Xinjiang Uygur Autonomous Region (grant number 2022B01009).
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Wang, T. et al. (2024). Intelligent Computing Making Access Control More Secure: From Cipher to Trust. In: Huang, DS., Chen, W., Pan, Y. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2024. Lecture Notes in Computer Science, vol 14869. Springer, Singapore. https://doi.org/10.1007/978-981-97-5603-2_25
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DOI: https://doi.org/10.1007/978-981-97-5603-2_25
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