Machine Learning and Data Mining for Computer Security: Methods and Applications

作者： Marcus A Maloof , None

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摘要: Survey Contributions.- An Introduction to Information Assurance.- Some Basic Concept of Machine Learning and Data Mining.- Research Detect Malicious Executables.- Mining Applied Intrusion Detection: MITRE Experiences.- Detection Alarm Clustering.- Behavioral Features for Network Anomaly Detection.- Cost-Sensitive Modeling Cleaning Enriched Representations in System Calls.- A Decision-Theoritic, Semi-Supervised Model Detection.

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Machine Learning and Data Mining for Computer Security: Methods and Applications

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Machine Learning and Data Mining for Computer Security: Methods and Applications

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