Harnessing the Power of AI in Data Warehousing Security: A Cloud Computing Approach

  • Emily Paul, Steven Kenneth Department of Computer Science, University of Idaho
Keywords: Artificial Intelligence (AI), Cloud Computing, Data Warehousing Security, Cybersecurity, Real-time Threat Analysis, Anomaly Detection, Cloud-based Infrastructure, Data Protection, Adaptive Security, Resource Optimization

Abstract

This research explores the integration of Artificial Intelligence (AI) into the realm of data warehousing security, leveraging a comprehensive Cloud Computing approach. The study aims to enhance the robustness and efficiency of data protection mechanisms by employing AI algorithms within cloud-based infrastructures. By analyzing patterns, anomalies, and potential threats in real-time, this approach seeks to proactively safeguard sensitive information stored in data warehouses. The synergistic combination of AI and Cloud Computing not only fortifies security measures but also optimizes resource utilization, ensuring a dynamic and adaptive defense against evolving cyber threats.

Published
2024-01-31
How to Cite
Emily Paul, Steven Kenneth. (2024). Harnessing the Power of AI in Data Warehousing Security: A Cloud Computing Approach. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 8(1), 21-30. Retrieved from http://ijcst.com.pk/index.php/IJCST/article/view/378