Intelligent Distributed Systems for Secure Data Governance Predictive Analytics and Enterprise Reliability
Abstract
The rapid expansion of digital ecosystems has compelled enterprises to adopt intelligent distributed systems capable of managing vast, heterogeneous data across geographically dispersed environments. These systems integrate artificial intelligence (AI), distributed computing, and secure data governance frameworks to ensure regulatory compliance, predictive decision-making, and operational reliability. This paper explores the architectural design, security mechanisms, and analytical capabilities of intelligent distributed systems that support secure data governance, predictive analytics, and enterprise reliability. The study proposes a layered architecture incorporating decentralized data processing, zero-trust security models, blockchain-based audit trails, and AI-driven anomaly detection mechanisms. Emphasis is placed on governance automation, real-time analytics pipelines, and fault-tolerant infrastructure to enhance system resilience. The research methodology combines architectural modeling, simulation-based validation, machine learning evaluation, and performance benchmarking. Results indicate that integrating predictive analytics with distributed governance controls significantly improves compliance monitoring, reduces operational risks, and enhances enterprise reliability. However, challenges related to system complexity, scalability trade-offs, and data privacy risks remain critical concerns. The paper concludes by outlining future research directions in explainable AI, federated governance frameworks, and autonomous reliability engineering within distributed enterprise systems
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 6 No. 6 (2023): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
11002-11010 |
Published |
December 7, 2023 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Nasser Saeed Rashid (%2023). Intelligent Distributed Systems for Secure Data Governance Predictive Analytics and Enterprise Reliability. International Journal of Science, Research and Technology , Vol. 6 No. 6 (2023): International Journal of Science, Research and Technology (IJSRAT) , pp. 11002-11010. https://doi.org/10.15662/IJSRAT.2023.0606002 |
References
2. Adari, V. K. (2020). Intelligent Care at Scale AI-Powered Operations Transforming Hospital Efficiency. International Journal of Engineering & Extended Technologies Research (IJEETR), 2(3), 1240-1249.
3. Malarkodi, K. P., Sugumar, R., Baswaraj, D., Hasan, A., & Kousalya, A. (2023, March). Cyber Physical Systems: Security Technologies, Application and Defense. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 2536-2546). IEEE.
4. Nagarajan, C., Neelakrishnan, G., Janani, R., Maithili, S., & Ramya, G. (2022). Investigation on Fault Analysis for Power Transformers Using Adaptive Differential Relay. Asian Journal of Electrical Sciences, 11(1), 1-8.
5. Sriramoju, S. (2022). API-driven account onboarding framework with real-time compliance automation. International Journal of Research and Applied Innovations (IJRAI), 5(6), 8132–8144.
6. Mudunuri, P. R. (2023). Automation-driven reliability engineering for public-sector biomedical systems. International Journal of Humanities and Information Technology (IJHIT), 5(1), 68–86.
7. Ananth, S., & Saranya, A. (2016, January). Reliability enhancement for cloud services-a survey. In 2016 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-7). IEEE.
8. Anumula, S. R. (2023). Resilience engineering for intelligent enterprise platforms. International Journal of Engineering & Extended Technologies Research (IJEETR), 5(1), 5954–5965.
9. Vimal Raja, G. (2021). Mining Customer Sentiments from Financial Feedback and Reviews using Data Mining Algorithms. International Journal of Innovative Research in Computer and Communication Engineering, 9(12), 14705-14710.
10. Sethuraman, S., Devi, C., & Murthy, C. G. (2022). Policy-as-Code Row-Level Security: Compiling DPL Rules into Spark SQL Views. American Journal of Data Science and Artificial Intelligence Innovations, 2, 673-705.
11. Chivukula, V. (2022). Improvement in Minimum Detectable Effects in Randomized Control Trials: Comparing User-Based and Geo-Based Randomization. International Journal of Computer Technology and Electronics Communication, 5(4), 5442-5446.
12. Hasenkhan, F., Keezhadath, A. A., & Amarapalli, L. (2023). Intelligent Data Partitioning for Distributed Cloud Analytics. Newark Journal of Human-Centric AI and Robotics Interaction, 3, 106-145.
13. Panda, M. R., & Sethuraman, S. (2022). Blockchain-Based Regulatory Reporting with Zero-Knowledge Proofs. Essex Journal of AI Ethics and Responsible Innovation, 2, 495-532.
14. Navandar, P. (2022). The Evolution from Physical Protection to Cyber Defense. International Journal of Computer Technology and Electronics Communication, 5(5), 5730-5752.
15. Devarajan, R., Prabakaran, N., Vinod Kumar, D., Umasankar, P., Venkatesh, R., & Shyamalagowri, M. (2023, August). IoT Based Under Ground Cable Fault Detection with Cloud Storage. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (pp. 1580-1583). IEEE.
16. Singh, A. (2021). Evaluating reliability in mission-critical communication: Methods and metrics. International Journal of Innovative Research in Computer and Technology (IJIRCT), 7(2), 1–11. Retrieved from https://www.ijirct.org/download.php?a_pid=2501102.
17. 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.
18. Surisetty, L. S. (2022). Designing Intelligent Integration Engines for Healthcare: From HL7 and X12 to FHIR and Beyond. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 5(1), 5989-5998.
19. Ponugoti, M. (2022). Integrating full-stack development with regulatory compliance in enterprise systems architecture. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(2), 6550–6563.
20. Chennamsetty, C. S. (2023). Neural Pipeline Orchestration: Deep Learning Approaches to Software Development Bottleneck Elimination. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 6(4), 8674-8680.
21. S. Roy and S. Saravana Kumar, “Feature Construction Through Inductive Transfer Learning in Computer Vision,” in Cybernetics, Cognition and Machine Learning Applications: Proceedings of ICCCMLA 2020, Springer, 2021, pp. 95–107.
22. Anand, L., & Neelanarayanan, V. (2019). Liver disease classification using deep learning algorithm. BEIESP, 8(12), 5105–5111.
23. Pandey, A., Chauhan, A., & Gupta, A. (2023). Voice Based Sign Language Detection For Dumb People Communication Using Machine Learning. Journal of Pharmaceutical Negative Results, 14(2).
24. Ramidi, M. (2023). Accessibility-centered mobile architectures for government health initiatives. International Journal of Research and Applied Innovations (IJRAI), 6(2), 8597–8610.
25. Gaddapuri, N. S. (2022). APPLICATION OF QUANTUM COMPUTING IN DIGITAL EDUCATION SYSTEMS. Power System Protection and Control, 50(2), 12-24.
26. S. Roy and S. Saravana Kumar, “Feature Construction Through Inductive Transfer Learning in Computer Vision,” in Cybernetics, Cognition and Machine Learning Applications: Proceedings of ICCCMLA 2020, Springer, 2021, pp. 95–107.
27. Mogil, V. B. (2023). Implementing role-based access control for healthcare data using SharePoint. International Journal of Engineering & Extended Technologies Research, 5(2), 6323–6333.
28. Genne, S. (2022). A secure architecture for real-time data exchange in HIPAA-compliant patient portals. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(1), 6202–6215.
29. Vaidya, S., Shah, N., Shah, N., & Shankarmani, R. (2020, May). Real-time object detection for visually challenged people. In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 311-316). IEEE.
30. Devarajan, R., Prabakaran, N., Vinod Kumar, D., Umasankar, P., Venkatesh, R., & Shyamalagowri, M. (2023, August). IoT Based Under Ground Cable Fault Detection with Cloud Storage. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (pp. 1580-1583). IEEE.