توظيف تقنية التصنيف الربطي للكشف عن مواقع التصيد الإلكتروني

Abstract EN

Electronic phishing is a form of modern cybercrimes.

It is oriented to steal sensitive information by presenting an illusive web page as a real page in the site.

As the detection of illusive phishing sites represent both a sophisticated and dynamic problem, it includes multiple factors and criteria of non-constant standard.

Of course, it shows addition to the smart technologies which are constructed by the perpetrators of such crimes.

For, it is possible for some proactive technologies to serve both useful and effective tools.

The latter may be utilized in ambiguous logic, neural artificial networks and data mining technique.

Also, they may serve as effective tools in detecting electronic phishing sites.

In the present research paper, an attempt is made to conduct and empirical study on host of different algorithms.

This is actualized by undertaking an examination against a collection of modern data within the realm of electronic phishing.

This plays its role in exploring new and competitive results by comparing with variant algorithms used in the same area.