Abstract
Wireless systems have evolved and are becoming increasingly important because of their capacity and flexibility to support new services and technologies such as enhanced mobile broadband (eMBB), massive machine type communications (mMTC), massive internet of things (mIoT) and ultra-reliable low latency communications (URLLC). This paper presents a systematic review of the status of the fifth-generation or 5G wireless system, addresses its physical architecture as well as the service-based architecture. The main elements of network slicing as a different vision of 5G, in response to the need to split the physical network into multiple logical networks to serve various types of services based on different requirements. Software-defined networking (SDN) and network functions virtualization (NFV) are also presented as tools needed for network resource management. The main security challenges of 5G networks are analyzed and possible solutions are discussed. A comparative analysis is presented of 5G versus its 4G predecessor.
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References
Batalla, J.M., et al.: Security risk assessment for 5G networks: national perspective. IEEE Wirel. Commun. 27, 16–22 (2020). https://doi.org/10.1109/MWC.001.1900524
Casado-Vara, R., Martin-del Rey, A., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Future Gener. Comput. Syst. 102, 965–977 (2020). https://doi.org/10.1016/j.future.2019.09.042
Barakabitze, A.A., Ahmad, A., Mijumbi, R., Hines, A.: 5G network slicing using SDN and NFV: a survey of taxonomy, architectures and future challenges. Comput. Netw. 167, 106984 (2020). https://doi.org/10.1016/j.comnet.2019.106984
Ahmad, I., Kumar, T., Liyanage, M., Okwuibe, J., Ylianttila, M., Gurtov, A.: Overview of 5G security challenges and solutions. IEEE Commun. Stand Mag. 2, 36–43 (2018)
Pérez-Pons, M.E., Parra-DomÃnguez, J., Chamoso, P., Plaza, M., Alonso, R.: Efficiency, profitability and productivity: technological applications in the agricultural sector. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J9 (2020). https://doi.org/10.14201/ADCAIJ2020944754
Nono, R., Alsudais, R., Alshmrani, R., Alamoudi, S., Aljahdali, A.O.: Intelligent traffic light for ambulance clearance. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J9, 89–104 (2020). https://doi.org/10.14201/ADCAIJ20209389104
González-Briones, A., Castellanos-Garzón, J.A., Mezquita MartÃn, Y., Prieto, J., Corchado, J.M.: A framework for knowledge discovery from wireless sensor networks in rural environments: a crop irrigation systems case study. Wirel. Commun. Mob. Comput. 2018, 1–14 (2018). https://doi.org/10.1155/2018/6089280
Valdeolmillos, D., Mezquita, Y., Ludeiro, A.R.: Sensing as a service: an architecture proposal for big data environments in smart cities. In: Novais, P., Lloret, J., Chamoso, P., Carneiro, D., Navarro, E., Omatu, S. (eds.) ISAmI 2019. AISC, vol. 1006, pp. 97–104. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-24097-4_12
Mezquita, Y.: Internet of Things platforms based on blockchain technology: a literature review. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara, R. (eds.) DCAI 2019. AISC, vol. 1004, pp. 205–208. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-23946-6_26
Fourati, H., Maaloul, R., Chaari, L.: A survey of 5G network systems: challenges and machine learning approaches. Int. J. Mach. Learn. Cybern. 12(2), 385–431 (2020). https://doi.org/10.1007/s13042-020-01178-4
Bo, R.: 5G Heterogeneous Networks Self-organizing and Optimization, 1st edn. Springer International Publishing, Cham (2016)
Llorens-Carrodeguas, A., Cervelló-Pastor, C., Leyva-Pupo, I.: Software defined networks and data distribution service as key features for the 5G control plane. In: RodrÃguez, S., et al. (eds.) DCAI 2018. AISC, vol. 801, pp. 357–360. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-99608-0_45
Yousaf, F.Z., Bredel, M., Schaller, S., Schneider, F.: NFV and SDN—key technology enablers for 5G networks. IEEE J. Sel. Areas Commun. 35, 2468–2478 (2017). https://doi.org/10.1109/JSAC.2017.2760418
Leyva-Pupo, I., Cervelló-Pastor, C., Llorens-Carrodeguas, A.: The resources placement problem in a 5G hierarchical SDN control plane. In: RodrÃguez, S., et al. (eds.) DCAI 2018. AISC, vol. 801, pp. 370–373. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-99608-0_48
Mazurczyk, W., Bisson, P., Jover, R.P., Nakao, K., Cabaj, K.: Special issue on advancements in 5G networks security. Future Gener. Comput. Syst. 110, 314–316 (2020). https://doi.org/10.1016/j.future.2020.04.043
Márquez Sánchez, S.: Integral support predictive platform for industry 4.0. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J9, 71–82 (2020). https://doi.org/10.14201/ADCAIJ2020947182
Chamoso, P., González-Briones, A., De La Prieta, F., Venyagamoorthy, G.K., Corchado, J.M.: Smart city as a distributed platform: toward a system for citizen-oriented management. Comput. Commun. 152, 323–332 (2020). https://doi.org/10.1016/j.comcom.2020.01.059
Ahmad, P.: A review on blockchain’s applications and implementations. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J10 (2021). https://doi.org/10.14201/ADCAIJ2021102197208
Parra DomÃnguez, J., Roseiro, P.: Blockchain: a brief review of agri-food supply chain solutions and opportunities. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J9, 95–106 (2020). https://doi.org/10.14201/ADCAIJ20209495106
Rathore, S., Park, J.H., Chang, H.: Deep Learning and blockchain-empowered security framework for intelligent 5G-enabled IoT. IEEE Access 9, 90075–90083 (2021). https://doi.org/10.1109/ACCESS.2021.3077069
Srivastav, R.K., Agrawal, D., Shrivastava, A.: A survey on vulnerabilities and performance evaluation criteria in blockchain technology. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J9, 91–105 (2020). https://doi.org/10.14201/ADCAIJ20209291105
Casado-Vara, R., de la Prieta, F., Prieto, J., Corchado, J.M.: Blockchain framework for IoT data quality via edge computing. In: Proceedings of the 1st Workshop on Blockchain-enabled Networked Sensor Systems. ACM, Shenzhen China, pp. 19–24 (2018)
Marais, B., Quertier, T., Chesneau, C.: Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability (2021)
Alonso, R.S.: Deep symbolic learning and semantics for an explainable and ethical artificial intelligence. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds.) ISAmI 2020. AISC, vol. 1239, pp. 272–278. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-58356-9_30
Sittón-Candanedo, I.: A new approach: edge computing and blockchain for industry 4.0. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara, R. (eds.) DCAI 2019. AISC, vol. 1004, pp. 201–204. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-23946-6_25
Sittón-Candanedo, I.: Edge computing: a review of application scenarios. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara, R. (eds.) DCAI 2019. AISC, vol. 1004, pp. 197–200. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-23946-6_24
Chen, W.-H., Kuo, H.-Y., Lin, Y.-C., Tsai, C.-H.: A lightweight pedestrian detection model for edge computing systems. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., RodrÃguez González, S. (eds.) DCAI 2020. AISC, vol. 1237, pp. 102–112. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-53036-5_11
Plaza-Hernández, M., Gil-González, A.B., RodrÃguez-González, S., Prieto-Tejedor, J., Corchado-RodrÃguez, J.M.: Integration of IoT technologies in the maritime industry. In: RodrÃguez González, S., et al. (eds.) DCAI 2020. AISC, vol. 1242, pp. 107–115. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-53829-3_10
Park, J.H., Rathore, S., Singh, S.K., Salim, M.M., Azzaoui, A.E., Kim, T.W., Pan, Y., Park, J.H.: A Comprehensive Survey on Core Technologies and Services for 5G Security: Taxonomies, Issues, and Solutions, p. 23 (2021)
Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., Ylianttila, M.: Security for 5G and Beyond 21, 41 (2019)
Abdulqadder, I.H., Zhou, S., Zou, D., Aziz, I.T., Akber, S.M.A.: Multi-layered intrusion detection and prevention in the SDN/NFV enabled cloud of 5G networks using AI-based defense mechanisms. Comput. Netw. 179, 107364 (2020). https://doi.org/10.1016/j.comnet.2020.107364
Benzaïd, C., Taleb, T.: AI for beyond 5G networks: a cyber-security defense or offense enabler? IEEE Netw. 34, 140–147 (2020). https://doi.org/10.1109/MNET.011.2000088
Khan, R., Kumar, P., Jayakody, D.N.K., Liyanage, M.: A survey on security and privacy of 5G technologies: potential solutions, recent advancements, and future directions. IEEE Commun. Surv. Tutor 22, 196–248 (2020). https://doi.org/10.1109/COMST.2019.2933899
Benzaid, C., Taleb, T.: AI for beyond 5G networks: a cyber-security defense or offense enabler? IEEE Netw. 34, 140–147 (2020). https://doi.org/10.1109/MNET.011.2000088
Yigitcanlar, T., et al.: Artificial intelligence technologies and related urban planning and development concepts: how are they perceived and utilized in Australia? J. Open Innov. Technol. Mark Complex 6, 187 (2020). https://doi.org/10.3390/joitmc6040187
Acknowledgment
This work has been partially supported by the Institute for Business Competitiveness of Castilla y León, and the European Regional Development Fund under grant CCTT3/20/SA/0002 (AIR-SCity project).
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Aguilar-Mora, C.D. (2023). Overview: Security in 5G Wireless Systems. In: Machado, J.M., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-031-23210-7_13
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