Contemporary Network Slicing Security

d9860bfa-e4a0-4968-96b8-e235ee9f79b020250414080152883wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON COMMUNICATIONS2224-28641109-274210.37394/23204http://wseas.org/wseas/cms.action?id=4021318202531820252410.37394/23204.2025.24https://wseas.com/journals/communications/2025.phpContemporary Network Slicing SecurityZoranMilicevicTelecommunications and Information Technology, Directorate GS of SAF, 11000 Belgrade, REPUBLIC OF SERBIAZoranBojkovicUniversity of Belgrade, Studentski trg 1, 11000 Belgrade, REPUBLIC OF SERBIASecurity slicing in contemporary networks is a powerful tool that can serve operators to deliver a more secure, reliable, and efficient network extension. In order to ensure secure deployment and implementation, it is necessary to build a corresponding security framework that contains security threats, requirements, and recommendations. On the other hand, by segmenting the network, operators can allocate resources more effectively and provide a more customized and optimal experience for users. This work illustrates contemporary network slicing security. After an introductory presentation, an illustration of security considerations in contemporary network slicing security is provided. The next two sessions addressed for the influence of artificial intelligence and security closed-loop automation. Further, the role of future research consideration together with operated achievements are demonstrated. The final session referred to concluding remarks.414202541420257102https://wseas.com/journals/communications/2025/a045104-002(2025).pdf10.37394/23204.2025.24.2https://wseas.com/journals/communications/2025/a045104-002(2025).pdf10.1109/comst.2023.3312349C. De Alwis, P. Porambage, K. Dev, T. R. Gadekallu, M. Liyanage, A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions, IEEE Communications Surveys & Tutorials, vol. 26, is. 1, 2024, pp. 534-570. https://doi.org/10.1109/COMST.2023.33123 49. Z. Bojkovic, Z. Milicevic, D. Milovanovic, Next Generation of Cellular Networks, in Proceedings of the 15th WSEAS International Conference on Communications (Part of the 15th WSEAS CSCC Multiconference) and the 5th International Conference on Communications and Information Technology (CIT '11), pp. 233-239, Corfu Island, Greece, July 14-17, 2011. 10.1109/access.2020.2975072L. U. Khan, I. Yaqoob, N. H. Tran, Z. Han, C. S. Hong, Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges, IEEE Access, vol. 8, 2020, pp. 36009-36028. Available at: https://doi.org/10.1109/ACCESS.2020.29750 72. 10.1109/mnet.001.1900287W. Saad, M. Bennis, M. Chen, A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems, IEEE Networks, vol. 34, no. 3, 2020, pp.134- 142. https://doi.org/10.1109/MNET.001.1900287. 10.1109/mnet.111.2100322H. Chergui, L. Blanco, L. A. Garrido, K. Ramantas, S. Kukliński, A. Ksentini, ZeroTouch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing, IEEE Network, vo. 35, is. 6, 2021, pp. 43-49. https://doi.org/10.1109/MNET.111.2100322. 10.1109/comst.2019.2933899R. Khan, P. Kumar, D.N.K. Jayakody, M. Liyanage, A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements and Future Directions, IEEE Communications Surveys and Tutorials, vol. 22, no. 1, 2020, pp.196-248. https://doi.org/10.1109/COMST.2019.29338 99. 3GPP, Study on management and orchestration of network slicing for next generation network, Technical Specification, 2017, [Online]. https://portal.3gpp.org/desktopmodules/Speci fications/SpecificationDetails.aspx?specificat ionId=3091 (February 15, 2025). 10.1109/access.2018.2828102S. Wang, Y. Hu, N. Zhang, Y. Liu, A Survey on Service Migration in Mobile Edge Computing, IEEE Access, vol. 6, 2018, pp.23511-23528. https://doi.org/10.1109/ACCESS.2018.28281 02. 10.1109/mnet.011.2000088Ch. Benzaid, T. Taleb, AI for Beyond 5G Networks: A Cyber-Security Defense of Offense Enabler, IEEE Networks, vol. 34, no. 6, 2020, pp.140-147. https://doi.org/10.1109/MNET.011.2000088. V. Chandola, A. Banerjee, V. Kumar, Anomaly Detection: A Survey, ACM Computing Surveys (CSUR), vol. 41, no. 3, 2009, pp.1-58. https://doi.org/10.1145/1541880.1541882.