In this paper, we mainly present a machine learning based approach to detect real-time
phishing websites by taking into account URL and hyperlink based hybrid features to …

The rapid development of e-commerce, e-banking, and social networks has made phishing
attack detection one of the most critical technologies in all cyber security systems. To …

The existing anti-phishing approaches use the blacklist methods or features based machine
learning techniques. Blacklist methods fail to detect new phishing attacks and produce high …

Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …

Phishing is a cyber-attack which generates a fake website that imitates a trusted website to
steal the sensitive information such as username, password, and credit card information …

This research focuses on evaluating whether a website is legitimate or phishing. Our
research contributes to improving the accuracy of phishing website detection. Hence, a …

Security attacks on legitimate websites to steal users' information, known as phishing
attacks, have been increasing. This kind of attack does not just affect individuals' or …

An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …

Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …