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The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
In a real world, it is often in a group setting that sensitive information has to be stored in databases of a server. Although personal information does not need to be stored in a server, the secret information shared by group members is likely to be stored there. The shared sensitive information requires more security and privacy protection. To our best knowledge, there is no paper which deals with...
Collecting data on user activities is one of the fundamental middleware services in Web-enabled systems. The collected data is analyzed and used by various high-level services, like user profiling, accounting, security auditing, and system health monitoring. In this paper, we present architecture and performance evaluation of usage tracking components for service-oriented middleware systems. Presented...
We introduce an architecture for unit tests that traces the values of output variables of JavaScript programming. We present an object model that describes the relationships between tracing and other programming components. We also present six types of tracing statements, implementation and automation approach. We created examples of XHTML and JavaScript programming to illustrate the implementation...
In the paper an Internet-based system for distant knowledge assessing is presented. Issues creating such an application are described and a statistic model for determining its effectiveness is suggested. Additionally, the results of applying the system to evaluation process in higher education are shown.
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