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– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computational intelligent techniques for classification accuracy on Leukemia, Lymphoma and Prostate cancer datasets of broad institute and Colon cancer dataset from Princeton gene(More)
Phishing – a hotbed of multibillion dollar underground economy – has become an important cybersecurity problem. The centralized blacklist approach used by most web browsers usually fails to detect zero-day attacks, leaving the ordinary users vulnerable to new phishing schemes; therefore, learning machine based approaches have been implemented for phishing(More)
Phishing attacks have been on the rise and performing certain actions such as mouse hovering, clicking, etc. on malicious URLs may cause unsuspecting Internet users to fall victims of identity theft or other scams. In this paper, we study the anatomy of phishing URLs that are created with the specific intent of impersonating a trusted third party to trick(More)
Phishing has become a lucrative business for cyber criminals whose victims range from end users to large corporations and government organizations. Though Internet users are generally becoming more aware of phishing websites, cyber scammers come up with novel schemes that circumvent phishing filters and often succeed in fooling even savvy users. Recent(More)
Proliferation of phishing attacks in recent years has presented an important cyber security research area. Over the years, there has been an increase in the technology, diversity, and sophistication of these attacks in response to increased user awareness and countermeasures. In this paper, we propose a novel scheme to automatically detect phishing URLs by(More)
This paper reports preliminary results of categorizing Arabic text into predefined categories by first translating the Arabic text into English using commercially available translators and then categorizing the English text using support vector machines (SVMs). An Arabic corpus from Leeds University of UK is used in the experiments. Machine translation is(More)
In BioWorld, a medical intelligent tutoring system, novice physicians are tasked with diagnosing virtual patient cases. Although we are often interested in considering whether learners diagnosed the case correctly or not, we cannot discount the actions that learners take to arrive at a final diagnosis. Thus, the consideration of the sequence of actions(More)