Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm

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Provided by: Academy Publisher
Topic: Security
Format: PDF
Recently, research on intrusion detection in computer systems has received much attention to the computational intelligence society. Many intelligence learning algorithms applied to the huge volume of complex and dynamic dataset for the construction of efficient Intrusion Detection Systems (IDSs). Despite of many advances that have been achieved in existing IDSs, there are still some difficulties, such as correct classification of large intrusion detection dataset, unbalanced detection accuracy in the high speed network traffic, and reduce false positives.
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