Secure Secondary Authentication Framework for Efficient Mutual Authentication on a 5G Data Network
Source abstract
Abstract
The service-based architecture of the Fifth Generation(5G) had combined the services and security architectures and enhanced the authentication process of services to expand the coverage of the network, including heterogeneous devices. This architecture uses the secondary authentication for mutual authentication between the User Equipment (UE) and the Data Network (DN) to authenticate devices and services. However, this authentication mechanism can cause a signaling storm in the Non-Access Stratum (NAS) because the end node needs to communicate with the authentication server of the NAS area. This problem could affect the availability of the network when the network is extended. This research proposes a mutual authentication framework that can efficiently perform a mutual authentication process through secondary authentication between UE and DN. The proposed framework uses newly devised network functions: Secondary Authentication Function (SAF) and the Authentication Data Management Function (ADMF). This framework proposes a methodology at the protocol level for efficient mutual authentication using the mobile edge computing architecture. We analyzed the proposed framework in the point of security considerations, and we evaluated the effect of the framework on the traffic of the NAS layer and user experience. Our simulation results show that the proposed framework can reduce the NAS traffic by 39% and total traffic of the overall network by 10%.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Authentication Protocols Security · IoT and Edge/Fog Computing · User Authentication and Security Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Funding
Seoul National University of Science and Technology
References (30)
Show source-provided references
1. Developing software online with platform-as-a-service technology10.1109/MC.2008.185 ↗
2. Liu, S. (2019). Cloud Computing—Statistics & Facts, Statista.
3. The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication10.1109/MCOM.2014.6815891 ↗
4. Dillon, T., Wu, C., and Chang, E. (2010, January 20–23). Cloud computing: Issues and challenges. Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, Australia.10.1109/AINA.2010.187 ↗
5. Security for 4G and 5G cellular networks: A survey of existing authentication and privacy-preserving schemes10.1016/j.jnca.2017.10.017 ↗
6. Bacteria-Inspired Network for 5G Mobile Communication10.1109/MNET.2019.1700210 ↗
7. A review on 5G technology
8. Basin, D., Dreier, J., Hirschi, L., Radomirovic, S., Sasse, R., and Stettler, V. (2018, January 15–19). A formal analysis of 5G authentication. Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, Toronto, ON, Canada.10.1145/3243734.3243846 ↗
9. TACRM: Trust access control and resource management mechanism in fog computing10.1186/s13673-019-0188-3 ↗
10. Muruganathan, S.D., Lin, X., Maattanen, H.L., Zou, Z., Hapsari, W.A., and Yasukawa, S. (2018). An overview of 3GPP release-15 study on enhanced LTE support for connected drones. arXiv.
11. Dolui, K., and Datta, S.K. (2017, January 6–9). Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing. Proceedings of the 2017 Global Internet of Things Summit (GIoTS), Geneva, Switzerland.10.1109/GIOTS.2017.8016213 ↗
12. Sabella, D., Moustafa, H., Kuure, P., Kekki, S., Zhou, Z., Li, A., Thein, C., Fischer, E., Vukovic, I., and Cardillo, J. (2017). Toward Fully Connected Vehicles: Edge Computing for Advanced Automotive Communications, 5G Automotive Association. White Paper.
13. Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks10.1109/ACCESS.2016.2597169 ↗
14. Asrar Baktayan, M.A., and Alhomdy, S. (2018). Fog Computing for Network Slicing in 5G Networks: An Overview. J. Telecommun. Syst. Manag.
15. Network service chaining in fog and cloud computing for the 5G environment: Data management and security challenges10.1109/MCOM.2017.1700102 ↗
16. Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., and Ylianttila, M. (2019). Security for 5G and Beyond. IEEE Commun. Surv. Tutor.10.1109/COMST.2019.2916180 ↗
17. Next generation 5G wireless networks: A comprehensive survey10.1109/COMST.2016.2532458 ↗
18. Network slicing to enable scalability and flexibility in 5G mobile networks10.1109/MCOM.2017.1600920 ↗
19. Aijaz, A. (2018). Packet duplication in dual connectivity enabled 5g wireless networks: Overview and challenges. arXiv.10.1109/MCOMSTD.001.1700065 ↗
20. Towards secure 5G networks: A Survey10.1016/j.comnet.2019.106871 ↗
21. Safeguarding 5G wireless communication networks using physical layer security10.1109/MCOM.2015.7081071 ↗
22. Overview of 5G security challenges and solutions10.1109/MCOMSTD.2018.1700063 ↗
23. Security in mobile edge caching with reinforcement learning10.1109/MWC.2018.1700291 ↗
24. Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability10.1109/ACCESS.2019.2898316 ↗
25. A 5G-enabling technology: Benefits, feasibility, and limitations of in-band full-duplex mMIMO10.1109/MVT.2018.2792198 ↗
26. Efficient and secure service-oriented authentication supporting network slicing for 5G-enabled IoT10.1109/JSAC.2018.2815418 ↗
27. Design of secure key management and user authentication scheme for fog computing services10.1016/j.future.2018.09.017 ↗
28. Reconfigurable security: Edge-computing-based framework for IoT10.1109/MNET.2018.1700284 ↗
29. A survey on low latency towards 5G: RAN, core network and caching solutions10.1109/COMST.2018.2841349 ↗
30. European Telecommunications Standards Institute (2018). 5G: Security Architecture and Procedures for 5G System (3GPP TS 33.501 Version 15.2.0 Release 15), ETSI.