Secure Container Orchestration in Cloud Environments Using Policy-Based Controls
Abstract
Container orchestration platforms, such as Kubernetes, have become the foundation of cloud-native application deployment. However, securing containerized workloads remains a challenge due to misconfigurations and privilege escalation risks. This paper proposes a policy-based control framework for secure container orchestration, which defines security policies for network access, storage permissions, and runtime behavior. The framework integrates with Kubernetes admission controllers to enforce real-time policy validation and threat mitigation. Performance tests show that the proposed solution reduces attack surface and improves compliance with minimal impact on deployment speed. The study highlights the importance of policy-based controls in securing cloud-native containerized applications.
References
Chinta, P. C. R., Katnapally, N., Ja, K., Bodepudi, V., Babu, S., & Boppana, M. S. (2022). Exploring the role of neural networks in big data-driven ERP systems for proactive cybersecurity management. Kurdish Studies.
Routhu, K., Bodepudi, V., Jha, K. M., & Chinta, P. C. R. (2020). A Deep Learning Architectures for Enhancing Cyber Security Protocols in Big Data Integrated ERP Systems. Available at SSRN 5102662.
Moore, C. (2023). AI-powered big data and ERP systems for autonomous detection of cybersecurity vulnerabilities. Nanotechnology Perceptions, 19, 46-64.
Bodepudi, V., & Chinta, P. C. R. (2024). Enhancing Financial Predictions Based on Bitcoin Prices using Big Data and Deep Learning Approach. Available at SSRN 5112132.
Chinta, P. C. R. (2023). The Art of Business Analysis in Information Management Projects: Best Practices and Insights. DOI, 10.
Chinta, P. C. R., & Katnapally, N. (2021). Neural Network-Based Risk Assessment for Cybersecurity in Big Data-Oriented ERP Infrastructures. Neural Network-Based Risk Assessment for Cybersecurity in Big Data-Oriented ERP Infrastructures.
Katnapally, N., Chinta, P. C. R., Routhu, K. K., Velaga, V., Bodepudi, V., & Karaka, L. M. (2021). Leveraging Big Data Analytics and Machine Learning Techniques for Sentiment Analysis of Amazon Product Reviews in Business Insights. American Journal of Computing and Engineering, 4(2), 35-51.
Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., Bodepudi, V., & Maka, S. R. (2025). Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering. European Journal of Applied Science, Engineering and Technology, 3(2), 41-54.
Moore, C. (2024). Enhancing Network Security With Artificial Intelligence Based Traffic Anomaly Detection In Big Data Systems. Available at SSRN 5103209.
Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., & Bodepudi, V. (2025). Predictive Analytics for Disease Diagnosis: A Study on Healthcare Data with Machine Learning Algorithms and Big Data. J Cancer Sci, 10(1), 1.
Chinta, P. C. R., Jha, K. M., Velaga, V., Moore, C., Routhu, K., & SADARAM, G. (2024). Harnessing Big Data and AI-Driven ERP Systems to Enhance Cybersecurity Resilience in Real-Time Threat Environments. Available at SSRN 5151788.
Chinta, P. C. R. (2023). Leveraging Machine Learning Techniques for Predictive Analysis in Merger and Acquisition (M&A). Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.
Chinta, P. C. R. (2022). Enhancing Supply Chain Efficiency and Performance Through ERP Optimisation Strategies. Journal of Artificial Intelligence & Cloud Computing, 1(4), 10-47363.
Chinta, P. C. R., & Karaka, L. M. AGENTIC AI AND REINFORCEMENT LEARNING: TOWARDS MORE AUTONOMOUS AND ADAPTIVE AI SYSTEMS.
