Malicious URL Detection Using Machine Learning

Malicious Uniform Resource Locators (URLs), or malicious websites, are one of the most common threats to web security. They host unwanted content (spam, malware, inappropriate ads, scams, etc.) Your visit this website may have been prompted by emails, advertisements, searches links from other websites. Either way, user must click on URL. The growing prevalence phishing, spam, and malware has led a strong need for reliable solution that can classify identify URLs. In paper, we address URL detection as binary classification problem evaluate performance several known machine-learning classifiers. Key Words: URLs, Machine Learning, Phishing, Spam, Malware, Fraud. M alware,