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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...
Document or certificate verification is a crucial part wherein a document or certificate issued by an authority will be verified for its authenticity. In a typical system it will be performed through exchange of mails or post, it is a time consuming process and not foolproof due to human intervention. In an online system, the documents hosted on a third party server with negligible downtime guarantee...
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...
Intrusion behavior and detection analysis particularly rely upon the type of data. Most of the datasets used in intrusion analysis are heterogeneous and imbalanced data sets. In these data sets, the features vary with a huge difference in between and within the feature values. This is very effective while taking decision, especially in the supervised learning. To analyze the intrusion problem, support...
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...
Efforts were made to match services using IOPE and nonfunctional attributes of the web service. Results of these service matching are not realistic as the matching's done by analyzing description of the web service. In order to realize automatic Service matching accuracy there is a need to adopt web2.0 social participation about the web services into service matching modules to achieve desired result...
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