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

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 …

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 …

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 …

The phishing attack is one of the most complex threats that have put internet users and
legitimate web resource owners at risk. The recent rise in the number of phishing attacks has …

Phishing is a technique under Social Engineering attacks which is most widely used to get
user sensitive information, such as login credentials and credit and debit card information …

Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …

Phishing is one of the most serious security threats. Most phishing attacks occur on online
transaction websites such as banking, commercial businesses, e-commerce, and more. This …

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 …

Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …