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What is MFGAD-INT: Deep Learning for Anomaly Detection about?

The paper presents MFGAD-INT, a novel anomaly detection method utilizing in-band network telemetry and multi-feature fusion graph deep learning to effectively identify network anomalies in cloud services. The proposed approach enhances detection accuracy by approximately 10.56% compared to traditional methods, addressing the limitations of existing network monitoring techniques. Experimental results validate its effectiveness in real-world environments, demonstrating superior performance in detecting subtle

Author

sansamy16

Language

EN