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The paper proposes an intrusion detection model for cloud computing using a centralised controller, signature-based and learning-based methodologies, Random Forest feature selection, and a CNN-Fuzzy model evaluated on CIDDS-001. The model achieves 94.46% accuracy and 92.78% precision.
Cloud computing provides Internet-based access to computing resources, but its remote infrastructure creates significant security concerns. The paper discusses cloud-based intrusion detection systems and the need for combined detection strategies.