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A Robust Framework for Secure Authentication, Authorization, and Cryptographic Resilience in Next-Generation Cellular Communication Systems
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Cellular Networks
Authentication Framework
Cryptographic Security
Authorization Models
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Abstract
The rapid evolution of next-generation cellular communication systems, particularly 5G and beyond, has significantly expanded the attack surface due to increased device heterogeneity, ultra-low latency requirements, and the integration of emerging paradigms such as the Internet of Things (IoT), Software-Defined Networking (SDN), and Network Function Virtualization (NFV). Traditional security mechanisms are inadequate to address the sophisticated threats targeting authentication, authorization, and cryptographic infrastructures. This paper proposes a robust, multi-layered framework designed to enhance cryptographic resilience while ensuring secure authentication and fine-grained authorization in cellular networks. The framework integrates blockchain-based identity validation, multi-factor authentication schemes, adaptive cryptographic models, and AI-assisted anomaly detection. Drawing upon recent advancements in secure architectures, IoT authentication protocols, and blockchain-enabled access control, the proposed model aims to mitigate vulnerabilities such as node capture attacks, replay attacks, and unauthorized access. Analytical evaluation demonstrates that the framework significantly improves security robustness while maintaining scalability and performance efficiency. The study contributes a comprehensive architecture aligned with next-generation network requirements and identifies future research directions for adaptive and autonomous security systems.
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References
1. M. Lehmoud, N. T. Obeis, and A. F. Mutar, “Design security architecture for unmanned aerial vehicles by 5G cloud network based implementation of SDN with NFV and AI,” Bulletin of Electrical Engineering and Informatics (BEEI), vol. 12, no. 1, pp. 403–410, Feb. 2023, doi: 10.11591/eei.v12i1.4239.
2. Majeed, B. A. Mahmood, and A. C. Shakir, “A secure and energy saving protocol for wireless sensor networks,” Bulletin of Electrical Engineering and Informatics (BEEI), vol. 10, no. 6, pp. 3353–3360, Dec. 2021, doi: 10.11591/eei.v10i6.2796.
3. F. Baig and S. Eskeland, “Security, privacy, and usability in continuous authentication: A survey,” Sensors, vol. 21, no. 17, Art. no. 5967, Sep. 2021, doi: 10.3390/s21175967.
4. H. Y. Mohammed, R. A. Dziyauddin, and L. A. Latiff, “Current multi-factor of authentication: Approaches, requirements, attacks and challenges,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 1, pp. 166–178, 2023, doi: 10.14569/IJACSA.2023.0140119.
5. K. Raghunath, D. Bharadwaj, M. Prabhuram, and A. D, “Designing a secured audio based key generator for cryptographic symmetric key algorithms,” Computer Science and Information Technologies, vol. 2, no. 2, pp. 87–94, Jul. 2021, doi: 10.11591/csit.v2i2.p87-94.
6. M. Al-Ghaili, H. Kasim, M. Othman, and W. Hashim, “QR code based authentication method for IoT applications using three security layers,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 18, no. 4, pp. 2004–2011, Aug. 2020, doi: 10.12928/TELKOMNIKA.V18I4.14748.
7. M. Starkov, “API authentication and authorization requirements,” GitHub. https://starkovden.github.io/authentication-and-authorization.html (accessed Aug. 04, 2023).
8. N. A. A. Afif, “Design and implementation maximum power point tracker (MPPT) flyback converter using fuzzy logic controller,” Intellectual Journal of Energy Harvesting and Storage, vol. 1, no. 1, May 2023.
9. Ometov, S. Bezzateev, N. Mäkitalo, S. Andreev, T. Mikkonen, and Y. Koucheryavy, “Multi-factor authentication: A survey,” Cryptography, vol. 2, no. 1, pp. 1–31, Jan. 2018, doi: 10.3390/cryptography2010001.
10. Zostant and R. Chataut, “Privacy in computer ethics: Navigating the digital age,” Computer Science and Information Technologies, vol. 4, no. 2, pp. 183–190, Jul. 2023, doi: 10.11591/csit.v4i2.p183-190.
11. Bera, S. Saha, A. K. Das, and A. V. Vasilakos, “Designing blockchain-based access control protocol in iot-enabled smart-grid system,” IEEE Internet of Things Journal, vol. 8, no. 7, pp. 5744–5761, Apr. 2021, doi: 10.1109/JIOT.2020.3030308.
12. Patil and S. R. Biradar, “An efficient authentication and key-distribution protocol for wireless multimedia sensor network,” Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 27, no. 1, pp. 347–354, Jul. 2022, doi: 10.11591/ijeecs.v27.i1.pp347-354.
13. Esposito, M. Ficco, and B. B. Gupta, “Blockchain-based authentication and authorization for smart city applications,” Information Processing and Management, vol. 58, no. 2, p. 102468, Mar. 2021, doi: 10.1016/j.ipm.2020.102468.
14. Feng, B. Liu, Z. Guo, K. Yu, Z. Qin, and K. K. R. Choo, “Blockchain-based cross-domain authentication for intelligent 5G-enabled internet of drones,” IEEE Internet of Things Journal, vol. 9, no. 8, pp. 6224–6238, Apr. 2022, doi: 10.1109/JIOT.2021.3113321.
15. Wang, D. Wang, Y. Tu, G. Xu, and H. Wang, “Understanding node capture attacks in user authentication schemes for wireless sensor networks,” IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 1, pp. 507–523, Jan. 2022, doi: 10.1109/TDSC.2020.2974220.
16. J. Zhang, J. Cui, H. Zhong, Z. Chen, and L. Liu, “PA-CRT: Chinese remainder theorem based conditional privacy-preserving authentication scheme in vehicular ad-hoc networks,” IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 2, pp. 722–735, Mar. 2021, doi: 10.1109/TDSC.2019.2904274.
17. K. Yu, L. Tan, M. Aloqaily, H. Yang, and Y. Jararweh, “Blockchain-enhanced data sharing with traceable and direct revocation in IIoT,” IEEE Transactions on Industrial Informatics, vol. 17, no. 11, pp. 7669–7678, Nov. 2021, doi: 10.1109/TII.2021.3049141.
18. M. Abuhamad, A. Abusnaina, D. Nyang, and D. Mohaisen, “Sensor-based continuous authentication of smartphones’ users using behavioral biometrics: A contemporary survey,” IEEE Internet of Things Journal, vol. 8, no. 1, pp. 65–84, Jan. 2021, doi: 10.1109/JIOT.2020.3020076.
19. M. Azrour, J. Mabrouki, A. Guezzaz, and Y. Farhaoui, “New enhanced authentication protocol for internet of things,” Big Data Mining and Analytics, vol. 4, no. 1, pp. 1–9, Mar. 2021, doi: 10.26599/BDMA.2020.9020010.
20. M. S. Mispan, A. Z. Jidin, M. R. Kamaruddin, and H. M. Nasir, “Proof of concept for lightweight PUF-based authentication protocol using NodeMCU ESP8266,” Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 24, no. 3, pp. 1392–1398, Dec. 2021, doi: 10.11591/ijeecs.v24.i3.pp1392-1398.
21. Q. Li, “A V2V identity authentication and key agreement scheme based on identity-based cryptograph,” Future Internet, vol. 15, no. 1, Art. no. 25, Jan. 2023, doi: 10.3390/fi15010025.
22. R. Shekhar and D. Mala, “A review on design and analysis of piezoelectric energy harvesting systems,” Intellectual Journal of Energy Harvesting and Storage, vol. 1, no. 1, May 2023.
23. S. Qiu, D. Wang, G. Xu, and S. Kumari, “Practical and provably secure three-factor authentication protocol based on extended chaotic-maps for mobile lightweight devices,” IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 2, pp. 1338–1351, 2022, doi: 10.1109/TDSC.2020.3022797.
24. V. Goel, M. Aggarwal, A. K. Gupta, and N. Kumar, “Blockchain-based Aadhar system: distributed authentication system,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 20, no. 6, pp. 1239–1247, Dec. 2022, doi: 10.12928/TELKOMNIKA.v20i6.24231.
25. X. Wang and J. Yang, “A privacy image encryption algorithm based on piecewise coupled map lattice with multi dynamic coupling coefficient,” Information Sciences, vol. 569, pp. 217–240, Aug. 2021, doi: 10.1016/j.ins.2021.04.013.