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 …

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 …

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 phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

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 …

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 …

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 …

Tremendous resources are spent by organizations guarding against and recovering from
cybersecurity attacks by online hackers who gain access to sensitive and valuable user …