Security Challenges and Solutions in Kubernetes Container Orchestration

Authors

  • Oluebube Princess Egbuna Devrel Engineer, Spectro Cloud, California, United States Author

Keywords:

Kubernetes, Container Orchestration, Security Challenges, Security Solutions, Container Security, Kubernetes Security, Threat Mitigation, Network Security, Runtime Security, Best Practices

Abstract

This study aims to uncover vulnerabilities, provide practical mitigation measures, and highlight policy implications by examining the security issues and solutions associated with Kubernetes container orchestration. The key aims include investigating vulnerabilities in Kubernetes components, reviewing network security risks, evaluating container runtime vulnerabilities, and studying risks related to third-party integrations. This research is based on a thorough analysis of case studies and existing literature, emphasizing new threats and security vulnerabilities in Kubernetes deployments. Important discoveries point to runtime vulnerabilities in container environments, network security holes caused by misconfigurations, and significant vulnerabilities in Kubernetes control plane components. The policy implications highlight the necessity of improving Kubernetes's security procedures through industry standards, regulatory frameworks, and ongoing training. Organizations may better safeguard Kubernetes deployments against changing threats by implementing robust authentication procedures, network policies, and runtime protection measures. With its findings and suggestions for enabling safe container orchestration in contemporary IT infrastructures, this study adds to the current conversation around Kubernetes security.

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References

Augustyn, D. R., Wycislik, L., Sojka, M. (2024). Tuning a Kubernetes Horizontal Pod Autoscaler for Meeting Performance and Load Demands in Cloud Deployments. Applied Sciences, 14(2), 646. https://doi.org/10.3390/app14020646

Bernstein, D. (2014). Containers and Cloud: From LXC to Docker to Kubernetes. IEEE Cloud Computing, 1(3), 81-84. https://doi.org/10.1109/MCC.2014.51

Carrión, C. (2022). Kubernetes as a Standard Container Orchestrator - A Bibliometric Analysis. Journal of Grid Computing, 20(4), 42. https://doi.org/10.1007/s10723-022-09629-8

Chin-Wei, T., Tse-Yung, H., Chia-Wei, T., Ting-Chun, H., Kuo, S-Y. (2019). KubAnomaly: Anomaly Detection for the Docker Orchestration Platform with Neural Network Approaches. Engineering Reports, 1(5). https://doi.org/10.1002/eng2.12080

Cilic, I., Krivic, P., Zarko, I. P., Kušek, M. (2023). Performance Evaluation of Container Orchestration Tools in Edge Computing Environments. Sensors, 23(8), 4008. https://doi.org/10.3390/s23084008

Combe, T., Martin, A., Di Pietro, R. (2016). To Docker or not to Docker: A Security Perspective. IEEE Cloud Computing, 3(5), 54-62. https://doi.org/10.1109/MCC.2016.102

Costa, J., Matos, R., Araujo, J., Li, J., Choi, E. (2023). Software Aging Effects on Kubernetes in Container Orchestration Systems for Digital Twin Cloud Infrastructures of Urban Air Mobility. Drones, 7(1), 35. https://doi.org/10.3390/drones7010035

Cuadra, J., Hurtado, E., Pérez, F., Casquero, O., Armentia, A. (2023). OpenFog-Compliant Application-Aware Platform: A Kubernetes Extension. Applied Sciences, 13(14), 8363. https://doi.org/10.3390/app13148363

Donca, I-C., Stan, O. P., Misaros, M., Stan, A., Miclea, L. (2024). Comprehensive Security for IoT Devices with Kubernetes and Raspberry Pi Cluster. Electronics, 13(9), 1613. https://doi.org/10.3390/electronics13091613

Esmaeily, A., Kralevska, K. (2024). Orchestrating Isolated Network Slices in 5G Networks. Electronics, 13(8), 1548. https://doi.org/10.3390/electronics13081548

Moreno-Vozmediano, R., Montero, R. S., Huedo, E., Llorente, I. M. (2024). Intelligent Resource Orchestration for 5G Edge Infrastructures. Future Internet, 16(3), 103. https://doi.org/10.3390/fi16030103

Naweiluo, Z., Yiannis, G., Marcin, P., Li, Z., Zhou, H. (2021). Container Orchestration on HPC Systems through Kubernetes. Journal of Cloud Computing, 10(1). https://doi.org/10.1186/s13677-021-00231-z

Rahaman, M. S., Islam, A., Cerny, T., Hutton, S. (2023). Static-Analysis-Based Solutions to Security Challenges in Cloud-Native Systems: Systematic Mapping Study. Sensors, 23(4), 1755. https://doi.org/10.3390/s23041755

Sadiq, A., Syed, H. J., Ansari, A. A., Ibrahim, A. O., Alohaly, M. (2023). Detection of Denial of Service Attack in Cloud Based Kubernetes Using eBPF. Applied Sciences, 13(8), 4700. https://doi.org/10.3390/app13084700

Senjab, K., Abbas, S., Ahmed, N., Khan, A. U. R. (2023). A Survey of Kubernetes Scheduling Algorithms. Journal of Cloud Computing, 12(1), 87. https://doi.org/10.1186/s13677-023-00471-1

Silvestri, S., Tricomi, G., Bassolillo, S. R., De Benedictis, R., Ciampi, M. (2024). An Urban Intelligence Architecture for Heterogeneous Data and Application Integration, Deployment and Orchestration. Sensors, 24(7), 2376. https://doi.org/10.3390/s24072376

Theodoropoulos, T., Rosa, L., Benzaid, C., Gray, P., Marin, E. (2023). Security in Cloud-Native Services: A Survey. Journal of Cybersecurity and Privacy, 3(4), 758. https://doi.org/10.3390/jcp3040034

Truyen, E., Van Landuyt, D., Preuveneers, D., Lagaisse, B., Joosen, W. (2019). A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks. Applied Sciences, 9(5). https://doi.org/10.3390/app9050931

Ullah, A., Kiss, T., Kovács, J., Tusa, F., Deslauriers, J. (2023). Orchestration in the Cloud-to-Things Compute Continuum: Taxonomy, Survey and Future Directions. Journal of Cloud Computing, 12(1), 135. https://doi.org/10.1186/s13677-023-00516-5

Yang, S., Kang, B. B., Nam, J. (2024). Optimus: Association-based Dynamic System Call Filtering for Container Attack Surface Reduction. Journal of Cloud Computing, 13(1), 71. https://doi.org/10.1186/s13677-024-00639-3

Zhu, L., Wang, Y., Kong, Y., Hu, Y., Huang, K. (2024). A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models. ISPRS International Journal of Geo-Information; 13(1), 28. https://doi.org/10.3390/ijgi13010028

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Published

19-05-2022

How to Cite

“Security Challenges and Solutions in Kubernetes Container Orchestration”. Journal of Science & Technology, vol. 3, no. 3, May 2022, pp. 66-90, https://thesciencebrigade.com/jst/article/view/233.

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