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Cloud Malware Detection Using SVM by Nithi Krish is a document available to read on EtoBox.

What is Cloud Malware Detection Using SVM about?

The document discusses a novel cloud anomaly detection approach using one-class Support Vector Machine (SVM) to enhance security and resilience in cloud computing infrastructures. It highlights the effectiveness of detecting various forms of malware and DoS attacks with over 90% accuracy by utilizing both system and network-level data. The proposed system aims to address the limitations of existing techniques like deep packet inspection by enabling flexible detection of new malware strains without prior kno

Author

Nithi Krish

Language

EN