Abstract
Knowledge graph is an extended graphical data structure tool that can store interrelated data and visually display the relationships between different objects in large systems. It is widely used in various fields. This paper proposes an attribute-based knowledge graph authorization policy model. This model presents the access control authorization policy between users and resources, and can intuitively display the authorization relationships between various types of nodes, making it easier to understand and implement access control policies. Compared with the traditional text access control policy presentation form, the knowledge graph authorization model presentation form proposed in this article is more intuitive and easy to understand and has strong operability. Finally, this article implemented the knowledge graph authorization strategy model on the NEO4J platform, using Cypher statements to implement the graph traversal algorithm to effectively evaluate the accuracy of the authorization strategy. This experiment implements the access control knowledge graph on the NEO4J platform and combines Cypher statements to search and match access control policies more finely.
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References
Ge, Y.F., Orlowska, M., Cao, J., Wang, H., Zhang, Y.: MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation. VLDB J. 1–19 (2022). https://doi.org/10.1007/s00778-021-00718-w
Rasool, R.U., Ashraf, U., Ahmed, K., Wang, H., Rafique, W., Anwar, Z.: Cyberpulse: a machine learning based link flooding attack mitigation system for software defined networks. IEEE Access 7, 34885–34899 (2019). https://doi.org/10.1109/ACCESS.2019.2904236
Wang, H., Sun, L.: Trust-involved access control in collaborative open social networks. In: 2010 Fourth International Conference on Network and System Security, pp. 239–246 (2010). https://doi.org/10.1109/nss.2010.13
Chen, Z.G., Zhan, Z., Wang, H., Zhang, J.: Distributed individuals for multiple peaks: a novel differential evolution for multimodal optimization problems. IEEE Trans. Evol. Comput. 24, 708–719 (2020). https://doi.org/10.1109/tevc.2019.2944180
Servos, D., Osborn, S.L.: Current research and open problems in attribute-based access control. ACM Comput. Surv. (CSUR) 49(4), 1–45 (2017). https://doi.org/10.1145/3007204
Verizon: Data Breach Investigations Report. Technical report, Verizon (2020). https://enterprise.verizon.com/resources/reports/2020-data-breach-investigations-report.pdf
Cheng, K., et al.: Secure k-NN query on encrypted cloud data with multiple keys. IEEE Trans. Big Data 7, 689–702 (2021). https://doi.org/10.1109/tbdata.2017.2707552
Zhang, J., et al.: On efficient and robust anonymization for privacy protection on massive streaming categorical information. IEEE Trans. Dependable Secure Comput. 14, 507–520 (2017). https://doi.org/10.1109/tdsc.2015.2483503
Hu, V.C., Ferraiolo, D., Kuhn, R., et al.: Guide to attribute based access control (ABAC) definition and considerations (draft). NIST Spec. Publ. 800(162), 1–54 (2013)
Contu, R., Kavanagh, K.M.: Market Trends: Cloud-Based Security Services Market, Worldwide (2014)
Wng, L., Wijesekera, D., Jajodia, S.: A logic-based framework for attribute based access control. In: Proceedings of the 2004 ACM Workshop on Formal Methods in Security Engineering, pp. 45–55. ACM (2004)
Zhang, X., Li, Y., Nalla, D.: An attribute-based access matrix model. In: Proceedings of the 2005 ACM Symposium on Applied Computing, pp. 359–363. ACM (2005)
Rubio-Medrano, C.E., D’Souza, C., Ahn, G.J.: Supporting secure collaborations with attribute-based access control. In: 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 525–530. IEEE (2013)
Ferraiolo, D., Gavrila, S., Jansen, W.: Policy Machine: Features, Architecture, and Specification, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD (2015). https://doi.org/10.6028/NIST.IR.7987r1
Jahid, S., Gunter, C.A., Hoque, I., Okhravi, H.: MyABDAC: compiling XACML policies for attribute-based database access control. In: Proceedings of the First ACM Conference on Data and Application Security and Privacy, pp. 97–108. ACM (2011)
Li, J.: Research on ontology-based ABAC model modeling and security policy optimization methods. Shanghai Jiao Tong University (2019)
Pina Ros, S., Lischka, M., Gómez Mármol, F.: Graph-based XACML evaluation. In: Proceedings of the 17th ACM Symposium on Access Control Models and Technologies, pp. 83–92. ACM (2012)
**, Y., Kaja, K.: XACML implementation based on graph databases. In: CATA, pp. 65–74 (2019)
Ahmadi, H., Small, D.: Graph model implementation of attribute-based access control policies. ar**v preprint ar**v:1909.09904 (2019)
You, M., Yin, J., Wang, H., et al.: A knowledge graph empowered online learning framework for access control decision-making. World Wide Web 26(2), 827–848 (2023)
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This work was supported by grants from the Guangdong Province-Foshan Joint Fund Project No.2022A1515140096.
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Ma, L., Lao, Q., Yang, W., Yang, Z., Yuan, D., Bu, Z. (2024). Research on Authorization Model of Attribute Access Control Based on Knowledge Graph. In: Wang, G., Wang, H., Min, G., Georgalas, N., Meng, W. (eds) Ubiquitous Security. UbiSec 2023. Communications in Computer and Information Science, vol 2034. Springer, Singapore. https://doi.org/10.1007/978-981-97-1274-8_23
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DOI: https://doi.org/10.1007/978-981-97-1274-8_23
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