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The problem of spam detection is a crucial task in the web information retrieval systems. The dynamic nature of information resources as well as the continuous changes in the information demands of the users makes the task of web spam detection a challenging topic. So far many different methods from researchers with different backgrounds have been proposed to tackle with spam web pages problem. In...
In this paper, we propose an identification algorithm of malicious Web pages for crawlers, which collect Web pages for the later task to detect malicious Web pages based on the content. Recently, some organization would have to automatically crawl the Web pages with the crawlers for later checking by humans. However, since manually checking Web pages is an expensive task, the total cost would be enormous...
Improvised explosive device web pages represent a significant source of knowledge for security organizations. In this paper, we present significant improvements to our approach to the discovery and classification of IED related web pages in the Dark Web. We present a statistical feature ranking approach to the expansion of the keyword lexicon used to discover IED related web pages, which identified...
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