Automated Real-Time Cybersecurity Framework for Oracle ERP Cloud Ecosystems with Integrated Electric Axle Testing and Data Governance
DOI:
https://doi.org/10.15662/IJARCST.2024.0702004Keywords:
Cybersecurity, Oracle ERP Cloud, Real-time analytics, Electric axle testing, Data governance, Automated threat detection, Cloud security, Industrial IoT, Machine learning, Compliance management, Adaptive analytics, Secure ERP integrationAbstract
The increasing complexity of Oracle ERP Cloud ecosystems necessitates robust, intelligent cybersecurity solutions capable of real-time threat mitigation and data governance. This paper introduces an Automated Real-Time Cybersecurity Framework designed specifically for Oracle ERP Cloud environments, integrating electric axle testing systems and advanced data governance mechanisms. The framework employs adaptive analytics, machine learning, and automated policy enforcement to monitor ERP transactions, detect anomalies, and ensure compliance across interconnected industrial and business processes. By incorporating electric axle testing data into the ERP security model, the system enhances operational visibility and secures critical IoT-linked manufacturing components. Additionally, the framework’s data governance layer ensures data accuracy, lineage, and regulatory adherence across distributed cloud nodes. Experimental implementation demonstrates improved cyber resilience, optimized testing automation, and secure integration between industrial IoT data and enterprise ERP operations.
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