AI-Driven Cloud-Native Architecture for Secure Real-Time Financial Data Management with Oracle Analytics Integration
DOI:
https://doi.org/10.15680/IJCTECE.2022.0506011Keywords:
Artificial Intelligence, Cloud-Native Architecture, Oracle Analytics, Financial Data Management, Real-Time Processing, Data Security, Predictive AnalyticsAbstract
The increasing digitalization of financial ecosystems demands intelligent, secure, and high-performance data management solutions capable of operating in real time. This paper presents an AI-driven cloud-native architecture that integrates Oracle Analytics to enhance real-time financial data processing, decision-making, and operational security. The proposed framework leverages artificial intelligence (AI) and machine learning (ML) models for automated data extraction, transformation, and predictive analytics within a scalable cloud environment. Oracle Analytics plays a central role in enabling intelligent visualization, deep financial insights, and cross-platform interoperability across enterprise systems. The architecture incorporates microservices, containerization, and AI-based orchestration to ensure continuous availability, low latency, and seamless integration with enterprise resource planning (ERP) modules. A multi-layered security model—featuring encryption, adaptive authentication, and AI-assisted anomaly detection—safeguards sensitive financial data against cyber threats. Experimental results show significant improvements in forecasting accuracy, data throughput, and system resilience compared to conventional cloud-based solutions. This research demonstrates how combining AI-driven intelligence with Oracle Analytics in a cloud-native framework can deliver a secure, adaptive, and real-time financial data ecosystem for next-generation enterprises.
References
1. Pathlock. (n.d.). Governance, Risk and Compliance Solution for Oracle EBS. Pathlock documentation. (Pathlock)
2. Gosangi, S. R. (2022). SECURITY BY DESIGN: BUILDING A COMPLIANCE-READY ORACLE EBS IDENTITY ECOSYSTEM WITH FEDERATED ACCESS AND ROLE-BASED CONTROLS. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(3), 6802-6807.
3. Anand, L., & Neelanarayanan, V. (2019). Feature Selection for Liver Disease using Particle Swarm Optimization Algorithm. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 6434-6439.
4. Kadar, Mohamed Abdul. "MEDAI-GUARD: An Intelligent Software Engineering Framework for Real-time Patient Monitoring Systems." (2019).
5. Google Cloud. (2021). Google Cloud Cortex Framework integrated with Oracle EBS. Google Cloud Blog. (Google Cloud)
6. Shaffi, S. M. (2021). Strengthening data security and privacy compliance at organizations: A Strategic Approach to CCPA and beyond. International Journal of Science and Research(IJSR), 10(5), 1364-1371.
7. Md R, Tanvir Rahman A. The Effects of Financial Inclusion Initiatives on Economic Development in Underserved Communities. American Journal of Economics and Business Management. 2019;2(4):191-8.
8. Amuda, K. K., Kumbum, P. K., Adari, V. K., Chunduru, V. K., & Gonepally, S. (2020). Applying design methodology to software development using WPM method. Journal ofComputer Science Applications and Information Technology, 5(1), 1-8.
9. Anand, L., Nallarasan, V., Krishnan, M. M., & Jeeva, S. (2020, October). Driver profiling-based anti-theft system. In AIP Conference Proceedings (Vol. 2282, No. 1, p. 020042). AIP Publishing LLC.
10. “Resource Management Schemes for Cloud Native Platforms with Computing Containers of Docker and Kubernetes.” (2020). arXiv preprint. (arXiv)
11. Cherukuri, B. R. (2019). Future of cloud computing: Innovations in multi-cloud and hybrid architectures.
12. Azmi, S. K. (2021). Spin-Orbit Coupling in Hardware-Based Data Obfuscation for Tamper-Proof Cyber Data Vaults. Well Testing Journal, 30(1), 140-154.
13. Sugumar, R. (2016). An effective encryption algorithm for multi-keyword-based top-K retrieval on cloud data. Indian Journal of Science and Technology 9 (48):1-5.
14. “Integration with Oracle EBS | Google Cloud Cortex Framework.” Google Cloud documentation. (Google Cloud)
15. Anand, L., Krishnan, M. M., Senthil Kumar, K. U., & Jeeva, S. (2020, October). AI multi agent shopping cart system based web development. In AIP Conference Proceedings (Vol. 2282, No. 1, p. 020041). AIP Publishing LLC.
16. Vinay Kumar Ch, Srinivas G, Kishor Kumar A, Praveen Kumar K, Vijay Kumar A. (2021). Real-time optical wireless mobile communication with high physical layer reliability Using GRA Method. J Comp Sci Appl Inform Technol. 6(1): 1-7. DOI: 10.15226/2474-9257/6/1/00149
17. R. Sugumar, A. Rengarajan and C. Jayakumar, Design a Weight Based Sorting Distortion Algorithm for Privacy Preserving Data Mining, Middle-East Journal of Scientific Research 23 (3): 405-412, 2015.
18. “Oracle EBS IAM Integration via OpenIAM.” OpenIAM solutions documentation. (openiam.com)
19. CertLibrary. (n.d.). Key Advantages of Oracle EBS in Enterprise Resource Planning. CertLibrary Blog. (certlibrary.com)
20. Karthick, T., Gouthaman, P., Anand, L., & Meenakshi, K. (2017, August). Policy based architecture for vehicular cloud. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 118-124). IEEE.
21. Sasidevi Jayaraman, Sugumar Rajendran and Shanmuga Priya P., “Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud,” Int. J. Business Intelligence and Data Mining, Vol. 15, No. 3, 2019.
22. Manda, P. (2022). IMPLEMENTING HYBRID CLOUD ARCHITECTURES WITH ORACLE AND AWS: LESSONS FROM MISSION-CRITICAL DATABASE MIGRATIONS. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(4), 7111-7122.
23. Srinivas Chippagiri, & Ravula, P. (2021). Cloud Native Development: Review of Best Practices and Frameworks for Scalable and Resilient Web Applications. International Journal of New Media Studies, 8(2), 13 21. (ijnms.com)
24. Berenguer, P. W., Hellwig, P., Schulz, D., Hilt, J., Kleinpeter, G., Fischer, J. K., & Jungnickel, V. (2019). Real-time optical wireless mobile communication with high physical layer reliability. Journal of Lightwave Technology, 37(6), 1638-1646.
25. Kumar, R., Al-Turjman, F., Anand, L., Kumar, A., Magesh, S., Vengatesan, K., ... & Rajesh, M. (2021). Genomic sequence analysis of lung infections using artificial intelligence technique. Interdisciplinary Sciences: Computational Life Sciences, 13(2), 192-200.
26. Usman Jelani, Koser Perveen. (2020). Resource Management Schemes for Cloud Native Platforms with Computing Containers of Docker and Kubernetes. arXiv preprint arXiv:2010.10350. (arXiv)
