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- W2370261726 abstract "Due to the diversity and quickly growth of modern network and distributed systems, intelligent anomaly detection can play an importantrole in monitoring and controlling network systems. This paper presents a network anomaly detection model based on enhanced Nave Bayesianclassifier. Mutual information in information theory is used as basis of the algorithm of feature selection. Experimental results show that the networkanomaly detection model performs better in detection of DoS and probing attack, and has lower false positive." @default.
- W2370261726 created "2016-06-24" @default.
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- W2370261726 date "2008-01-01" @default.
- W2370261726 modified "2023-09-26" @default.
- W2370261726 title "Network Anomaly Detection Model Based on Improved Nave Bayesian Classifier" @default.
- W2370261726 hasPublicationYear "2008" @default.
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