Cloud-Native Security in Informatics: A Bibliometric Analysis of Emerging Research
DOI:
https://doi.org/10.58812/wsshs.v4i07.3011Keywords:
Cloud-Native Security, Cloud Computing, Cybersecurity, DevSecOps, Kubernetes, Bibliometric AnalysisAbstract
Fast development of cloud computing technologies has led to the emergence of cloud-native architecture, which created both new possibilities and challenges in the area of informatics, in particular cybersecurity. Being a set of flexible and scalable cloud-native technologies, such as containers, microservices, Kubernetes and DevOps, cloud-native environments imply complex security risks, such as data protection, network, identity and dynamic infrastructure management. The purpose of this study is to investigate the evolution, scientific structure and future research directions in cloud-native security by means of bibliometric approach. Academic publications were identified within relevant databases and analyzed by means of VOSviewer software to uncover trends in publications, co-occurrence of keywords, citation structures, authors' collaborations and international scientific networks. The results show that cloud-native security research started from basic issues, such as cloud computing, network security, and container technologies to develop into more sophisticated areas, such as DevSecOps, automation, artificial intelligence, anomaly detection, intrusion detection and intelligent cybersecurity systems. The analysis also indicates that the United States has a dominant role in global research contributions, supported by strong collaborations with countries such as India, the United Kingdom, Italy, France, and South Korea. Highly cited studies demonstrate that current research priorities focus on secure cloud architectures, serverless computing, cloud-native observability, container isolation, and autonomous security management. This study provides a comprehensive understanding of the research landscape and highlights future directions toward AI-driven security frameworks, zero-trust architectures, and automated defense mechanisms for resilient cloud-native ecosystems.
References
[1] M. Moore, T. K. Kuppusamy, and J. Cappos, “Artemis: Defanging Software Supply Chain Attacks in Multi-repository Update Systems,” in ACM International Conference Proceeding Series, New York University, New York City, United States: Association for Computing Machinery, 2023, pp. 83–97. doi: 10.1145/3627106.3627129.
[2] R. Behravesh, D. Coroama, M. Nikroo, M. Gholami, N. Agrawala, and R. N. Mitra, “AI-Driven Traffic Steering xApp for Open RAN: A Cloud-Native Quantum-Safe Approach,” in Proceedings of the 11th IEEE International Conference on Network Softwarization, NetSoft 2025, V. P., C. W., F. C., S. R., and T. M., Eds., Net Reply, London, United Kingdom: Institute of Electrical and Electronics Engineers Inc., 2025, pp. 49–54. doi: 10.1109/NetSoft64993.2025.11080591.
[3] P. Raj, N. Gayathri, and G. J. W. Kathrine, Artificial Intelligence for Precision Agriculture. Edge AI Division, Reliance Jio Platforms Ltd. (JPL), Bangalore, India: CRC Press, 2024. doi: 10.1201/9781003504900.
[4] S. R. Goniwada, Cloud Native Architecture and Design: A Handbook for Modern Day Architecture and Design with Enterprise-Grade Examples. Bangalore, United States: Apress Media LLC, 2021. doi: 10.1007/978-1-4842-7226-8.
[5] T. Baptista, R. Jesus, L. B. Silva, and C. Costa, “Scalable Digital Pathology Platform Over Standard Cloud Native Technologies,” in Proceedings - IEEE Symposium on Computers and Communications, Bmd Software, Ílhavo, Portugal: Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/ISCC55528.2022.9912933.
[6] F. Yashu, S. M. Rochester, and M. Saqib, “Optimizing Intra-Container Communication with Memory Protection Keys: A Novel Approach to Secure and Efficient Microservice Interaction,” in 2025 International Conference on Business Intelligence for Technology Innovation, ICBITI 2025, Stony Brook University, Dept. of Computer Science, United States: Institute of Electrical and Electronics Engineers Inc., 2025. doi: 10.1109/ICBITI65527.2025.11501025.
[7] R. Kottapalli et al., “Optimizing Alzheimer’s Data Analysis Through Multi-Cloud Integration: A Performance and Reliability Approach,” Results Control Optim., vol. 23, 2026, doi: 10.1016/j.rico.2026.100687.
[8] A. Alzahrani, “Cognitive ZTNA: A Neuro-Symbolic AI Approach for Adaptive and Explainable Zero Trust Access Control,” Mathematics, vol. 14, no. 7, 2026, doi: 10.3390/math14071211.
[9] S. Kriaa, S. Papillon, L. Jagadeesan, and V. Mendiratta, “Better Safe than Sorry: Modeling Reliability and Security in Replicated SDN Controllers,” in 2020 16th International Conference on the Design of Reliable Communication Networks, DRCN 2020, Nokia Bell-Labs, Nozay, France: Institute of Electrical and Electronics Engineers Inc., 2020. doi: 10.1109/DRCN48652.2020.1570604424.
[10] T. M. Chettier, V. A. K. Boyina, S. Jorepalli, C. Singh, and N. Gupta, “Scalable Explainable AI with a Cloud-Native Approach for Cybersecurity Threat Detection,” in Proceedings - 3rd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2025, K. R., K. R., G. M., and G. M., Eds., South Windsor, 06074, CT, United States: Institute of Electrical and Electronics Engineers Inc., 2025, pp. 686–691. doi: 10.1109/InCACCT65424.2025.11011376.
[11] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, pp. 285–296, 2021.
[12] N. Van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010.
[13] M. S. Aslanpour, S. S. Gill, and A. N. Toosi, “Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research,” Internet of Things (Netherlands), vol. 12, 2020, doi: 10.1016/j.iot.2020.100273.
[14] D. Gannon, R. Barga, and N. Sundaresan, “Cloud-Native Applications,” IEEE Cloud Comput., vol. 4, no. 5, pp. 16–21, 2017, doi: 10.1109/MCC.2017.4250939.
[15] Z. Li, L. Guo, J. Cheng, Q. Chen, B. He, and M. Guo, “The Serverless Computing Survey: A Technical Primer for Design Architecture,” ACM Comput. Surv., vol. 54, no. 10, 2022, doi: 10.1145/3508360.
[16] A. Macdermott, T. Baker, and Q. Shi, “Iot Forensics: Challenges for the Ioa Era,” in 2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings, Department of Computer Science, Liverpool John Moores University, Liverpool, United Kingdom: Institute of Electrical and Electronics Engineers Inc., 2018, pp. 1–5. doi: 10.1109/NTMS.2018.8328748.
[17] Z. Shen et al., “X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers,” in International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS, University of California, Berkeley, United States: Association for Computing Machinery, 2019, pp. 121–135. doi: 10.1145/3297858.3304016.
[18] R. Ranchal et al., “Disrupting healthcare silos: Addressing data volume, velocity and variety with a cloud-native healthcare data ingestion service,” IEEE J. Biomed. Heal. Informatics, vol. 24, no. 11, pp. 3182–3188, 2020, doi: 10.1109/JBHI.2020.3001518.
[19] T. Theodoropoulos et al., “Security in Cloud-Native Services: A Survey,” J. Cybersecurity Priv., vol. 3, no. 4, pp. 758–793, 2023, doi: 10.3390/jcp3040034.
[20] D. Soldani et al., “E-BPF: A New Approach to Cloud-Native Observability, Networking and Security for Current (5G) and Future Mobile Networks (6G and Beyond),” IEEE Access, vol. 11, pp. 57174–57202, 2023, doi: 10.1109/ACCESS.2023.3281480.
[21] D. Traganos et al., “Spatially Explicit Seagrass Extent Mapping Across the Entire Mediterranean,” Front. Mar. Sci., vol. 9, 2022, doi: 10.3389/fmars.2022.871799.
[22] R. Vilalta et al., “TeraFlow: Secured autonomic traffic management for a tera of SDN flows,” in 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain: Institute of Electrical and Electronics Engineers Inc., 2021, pp. 377–382. doi: 10.1109/EuCNC/6GSummit51104.2021.9482469.
[23] F. Ponce, J. Soldani, C. Taramasco, A. Brogi, and H. Astudillo, “Beyond Security: Understanding the Multiple Impacts of Security Smells for Microservices,” CLEI Eletronic J., vol. 27, no. 2, 2024, doi: 10.19153/cleiej.27.2.6.
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