Implementation Paper on Detection of Malicious URLs Using Machine Learning Techniques

Abstract

Abstract: Detecting and preventing the user from the malicious site attacks are significant tasks. A huge number of attacks have been observed in last few years. Malicious attack detection and prevention system plays an immense role against these attacks by protecting the system’s critical information. The internet security software and fire walls are not enough to provide full protection to the system. Hence efficient detection systems are essential for web security. These existing methods have some drawbacks results into numbers of victims to increase. Hence we developed a system which helps the user to identify whether the website is malicious or not. Our system identifies whether the site is malicious or not through URL. Keywords: Malicious URLs, Classifier, Feature Extraction, ID3 Algorithm