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Unknown malware detection model based on genetic evolutionary strategy
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AI
DOI：10.1016/j.engappai.2026.114995.png)
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Abstract
En 中文
• A method based on genetic evolutionary strategies is proposed. • A method is proposed for reducing the false alarm rate of anomalous samples. • Introducing active learning strategies for unknown sample recognition lags.
Keywords:
genetic evolutionary strategy
unknown malware detection
false alarm rate reduction
active learning
anomaly detection
Journal
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8
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Citations:
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