An Approach to Detect Malicious URL through Selective Classification

A “malicious web page” refers to a web page that contains malicious content that can exploit a client–side computer system. Malicious website may be used as a weapon by cybercriminal to exploit various security threats such as phishing, drive-by-download and spamming. Malicious Web sites are hurdle on the way of Internet security. And used as a weapon to mount various security threat like phishing, drive-by-download and spamming. To handle there is need to develop an automatic system to recognized malicious website. To derive detection models for malicious web pages, distinguishing features of benign and malicious web pages are analyzed. This paper is a approach to find the malicious url using PSO