Phishing Detection using Naive Bayes Algorithm

In computing, phishing is a criminal activity using social engineering techniques. Phishers attempts to abuse sensitive information such as passwords and credit card details by masquerading as a trustworthy person or business in an electronic communication. Phishing is typically carried out using email or an urgent message, although phone contact has been used as well. While the Off-the-Hook technique have language independence, speed of decision and user privacy. They suffer from several drawbacks including time delay, inaccuracy, information retrieval, storage media, reports and enquiry. These drawbacks are slowdown the speed of the browser. To address these limitations, we present a new approach for detecting and identifying phishing URL using Naive Bayes algorithm. It is an efficient and effective technique to identify the phishing websites. In addition, Naive Bayes identifies the target websites that a phishing webpage is attempting to mimic and include this target in its warning.