Cybersecure Cloud ERP Automation: Oracle-Centric Framework with Machine Learning and Privacy Protection

Matteo Luca Bianchi

doi:10.15662/IJRAI.2024.0706006

Authors

Matteo Luca Bianchi Cloud Solutions Architect, Italy Author

DOI:

https://doi.org/10.15662/IJRAI.2024.0706006

Keywords:

Cybersecurity, Cloud Computing, ERP Automation, Oracle, Machine Learning, Privacy Protection, Real-Time Monitoring, Threat Mitigation, Anomaly Detection, Data Security, Federated Learning, Access Control, Enterprise Integration, Predictive Analytics, Hybrid Cloud, Scalable ERP Systems

Abstract

This paper proposes a cybersecure, cloud-enabled framework for real-time automation of Enterprise Resource Planning (ERP) systems, centered on Oracle architectures. The framework integrates Machine Learning (ML) techniques for predictive analytics, anomaly detection, and automated threat mitigation to ensure robust cybersecurity across ERP workflows. Cloud deployment enhances scalability, availability, and seamless integration of distributed ERP modules while maintaining strict privacy and data protection through adaptive encryption, access control policies, and federated learning mechanisms. Experimental evaluation demonstrates improved system resilience, reduced downtime from cyber threats, and compliance with contemporary data privacy regulations. The proposed Oracle-centric, ML-enabled framework establishes a secure and intelligent foundation for automated ERP operations in hybrid and cloud environments.

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