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Malicious web pages are an emerging security concern on the Internet due to their popularity and their potential serious impacts. Detecting and analyzing them is very costly because of their qualities and complexities. There has been some research approaches carried out in order to detect them. The approaches can be classified into two main groups based on their used analysis features: static feature...
This paper constructed a web site supervision system to analyze the sentiment orientation of the articles (document, text) on the web sites in intranet. A scheme based on Vector Space Model (VSM) is put forward for identifying the sentiment orientation of document. Considering the feature of a document is relative to the term frequencies appears in the document and corpus, we extract the feature of...
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...
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