Phishing has become a favorite method of hackers for committing data theft and continues to
evolve. As long as phishing websites continue to operate, many more people and …

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 …

Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …

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 …

Phishing attacks have evolved in terms of sophistication and have increased in sheer
number in recent years. This has led to corresponding developments in the methods used to …

The increasing popularity of the Internet led to a substantial growth of e-commerce.
However, such activities have main security challenges primary caused by cyberfraud and …

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

Phishing is a kind of cybercrime that uses disguised websites to trick people into providing
personally sensitive information. Phishing detection with high accuracy has attracted …

With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …

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 …