One class fusion-based learning model for anomaly detection
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The Dempster-Shafer (DS) theory of evidence is frequently used to combine multiple supervised machine learning models into a robust fusion-based model. However, using the DS theory to create a fusion model from multiple one-class classifications (OCCs) for network anomaly detection is a challenging task.
Nội dung trích xuất từ tài liệu:
One class fusion-based learning model for anomaly detection
Nội dung trích xuất từ tài liệu:
One class fusion-based learning model for anomaly detection
Tìm kiếm theo từ khóa liên quan:
Computer science and cybernetics Deep learning Anomaly detection DS theory Data fusionGợi ý tài liệu liên quan:
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