Enhancing Cloud API Security with OAuth 2.1 and OpenID Connect Integration
Abstract
APIs serve as the backbone for communication in cloud-native applications but are vulnerable to unauthorized access and abuse. This paper proposes a secure API framework that integrates OAuth 2.1 and OpenID Connect to provide secure authentication, token-based access control, and user identity verification. The framework enforces token expiration, refresh policies, and scope-based permissions to minimize access risk. Real-time monitoring and anomaly detection are incorporated to identify and respond to suspicious API activity. Performance analysis demonstrates improved API response times and reduced unauthorized access incidents. The study concludes that OAuth 2.1 and OpenID Connect integration enhances API security in cloud environments.
References
Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.
Jha, K. M., Velaga, V., Routhu, K., Sadaram, G., Boppana, S. B., & Katnapally, N. (2025). Transforming Supply Chain Performance Based on Electronic Data Interchange (EDI) Integration: A Detailed Analysis. European Journal of Applied Science, Engineering and Technology, 3(2), 25-40.
Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.
KishanKumar Routhu, A. D. P. Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices.
Bodepudi, V. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.
Jha, K. M., Bodepudi, V., Boppana, S. B., Katnapally, N., Maka, S. R., & Sakuru, M. Deep Learning-Enabled Big Data Analytics for Cybersecurity Threat Detection in ERP Ecosystems.
Boppana, S. B., Moore, C. S., Bodepudi, V., Jha, K. M., Maka, S. R., & Sadaram, G. AI And ML Applications In Big Data Analytics: Transforming ERP Security Models For Modern Enterprises.
Seelam, D. R., Kidiyur, M. D., Whig, P., Gupta, S. K., & Balantrapu, S. S. (2025). Integrating Artificial Intelligence in Blue-Green Infrastructure: Enhancing Sustainability and Resilience. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 347-372). IGI Global Scientific Publishing.
Trehan, A. (2025). Bias in Green AI Addressing Disparities in Data and Algorithms. In Advancing Social Equity Through Accessible Green Innovation (pp. 63-76). IGI Global Scientific Publishing.
Trehan, A. (2025). The Road Ahead: AI and Data Science as Pillars for Sustainable Equity. In Advancing Social Equity Through Accessible Green Innovation (pp. 421-436). IGI Global Scientific Publishing.
Pradhan, C., & Trehan, A. (2025). Integration of Blockchain Technology in Secure Data Engineering Workflows.
Trehan, A., & Pradhan, C. AUTOMATED DATA LINEAGE TRACKING IN DATA ENGINEERING ECOSYSTEMS.
Katru, C. R., Gami, S. J., Shah, K. N., Trehan, A., & Saratchandran, D. V. (2024). Next-Gen AI Quality Checks: Redefining Data Integrity in Automated Workflows.
Juyal, P., Manukonda, P., Saratchandran, D., Trehan, A., Shah, K. N., & Rao, C. (2024). The Role of Artificial Intelligence in Enhancing Decision-Making in Enterprise Information Systems.
Pradhan, C., & Trehan, A. DATA ENGINEERING FOR SCALABLE MACHINE LEARNING DESIGNING ROBUST PIPELINES.
Shah, K., & Trehan, A. STREAMLINING SOFTWARE DEVELOPMENT: A COMPARATIVE STUDY OF AI-DRIVEN AUTOMATION TOOLS IN MODERN TECH.
Shah, K. N., Gami, S. J., & Trehan, A. An Intelligent Approach to Data Quality Management AI-Powered Quality Monitoring in Analytics.
Banerjee, S., & Parisa, S. K. (2023). AI-Powered Blockchain for Securing Retail Supply Chains in Multi-Cloud Environments. International Journal of Sustainable Development in computer Science Engineering, 9(9).
Banerjee, S., & Parisa, S. K. (2023). AI-Enhanced Intrusion Detection Systems for Retail Cloud Networks: A Comparative Analysis. Transactions on Recent Developments in Artificial Intelligence and Machine Learning, 15(15).
Parisa, S. K., Banerjee, S., & Whig, P. (2023). AI-Driven Zero Trust Security Models for Retail Cloud Infrastructure: A Next-Generation Approach. International Journal of Sustainable Devlopment in field of IT, 15(15).
Banerjee, S. (2023). Challenges and Solutions for Data Management in Cloud-Based Environments. International Journal of Advanced Research in Science, Communication and Technology, 370-378.
Parisa, S. K., & Banerjee, S. (2024). AI-Enabled Cloud Security Solutions: A Comparative Review of Traditional vs. Next-Generation Approaches. International Journal of Statistical Computation and Simulation, 16(1).
Banerjee, S., Whig, P., & Parisa, S. K. (2024). Leveraging AI for Personalization and Cybersecurity in Retail Chains: Balancing Customer Experience and Data Protection. Transactions on Recent Developments in Artificial Intelligence and Machine Learning, 16(16).
Banerjee, S., Whig, P., & Parisa, S. K. (2024). Cybersecurity in Multi-Cloud Environments for Retail: An AI-Based Threat Detection and Response Framework. Transaction on Recent Developments in Industrial IoT, 16(16).
Banerjee, S. (2024). Exploring Cryptographic Algorithms: Techniques, Applications, and Innovations. International Journal of Advanced Research in Science, Communication and Technology, 607-620.
