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Identifying the intruder behavior in the network as well as in the system is an arduous and time-consuming mechanism. Abnormal activity of the user is a critical problem, analyzing this behavior with the emerging technologies like the Internet is difficulty. It should be investigated effectively and accurately for identification of all abnormal activities. The accurate anomaly detection is become...
Pinpointing the intrusion from the available huge intrusion data is demanding. Intrusion detection is treated as a data analysis problem. The process of finding accurate intrusion is typical in real world scenarios. For improving accurate identification of intrusions data mining approaches are adopted and proved automatic analysis with improved performance. These techniques enhancing the detection...
Finding anomalous behavior of user in networks is crucial, in analysis of such behavior to identify the real user is very complicated. Classification is one technique for identifying the anomalous behavior. The anomaly detection rate can be improved by ensemble the different classifiers. Empirically, ensembles tend to yield better results when there is a significant diversity among the models. The...
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