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AI Malware Detection with CNN-SVM Ensemble by Razvi Doomun is a document available to read on EtoBox.

What is AI Malware Detection with CNN-SVM Ensemble about?

The document discusses the development of an AI-based malware threat prediction algorithm that combines convolutional neural networks (CNN) and support vector machines (SVM) to enhance malware detection and prediction capabilities. A systematic literature review identified existing gaps in current methods, such as generalizability and robustness, leading to the proposed ensemble approach which achieved 92.37% accuracy on the MalImg dataset. The paper emphasizes the importance of integrating deep learning an

Author

Razvi Doomun

Language

EN