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The problem of processing XML streaming data fits a large class of new applications and has been a hot spot recently. The XML streams on the World Wide Web are usually autonomous, distributed and heterogeneity. All existing methods, however, do not support processing a collection of XML streams from heterogeneity data sources. In this paper, we address the heterogeneity issues in the context of XML...
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...
Several vulnerability analysis techniques in web-based applications detect and report on different types of vulnerabilities. However, no single technique provides a generic technology-independent handling of Web-based vulnerabilities. In this paper we present our experience with and experimental exemplification of using the application vulnerability description language (AVDL) to realize a unified...
As digital resources increasingly growing and the economic benefit of digital intellectual property rights being increasingly important, people has been increasingly emphasis on information security issues brought by the data remnants in storage devices. They try their best to prevent the potential risks. In this paper, we survey comprehensively related technologies, standards and trends of erasure,...
The increasing ubiquity of mobile embedded systems has been matched by the evolution of a variety of wireless network standards and technologies. The major constraints of wireless embedded systems are limitations of communication bandwidth, processing capabilities, and battery power. Remote wireless embedded systems often act as sensors, which provide data to a certain community. The exchange of data...
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