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 …

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 paper presents a novel approach that can detect phishing attack by analysing the
hyperlinks found in the HTML source code of the website. The proposed approach …

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 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 attackers spread phishing links through e-mail, text messages, and social media
platforms. They use social engineering skills to trick users into visiting phishing websites and …

Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive
information from the victim. Usually, these kinds of attacks are done via emails, text …

The increasing number of phishing attacks is one of the major concerns of security
researchers today. The traditional tools for identifying phishing websites use signature …

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 …

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 …