Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

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 is the process of portraying malignant web pages in the place of genuine web
pages to obtain important and delicate information from the end-user. Nowadays phishing is …

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 …

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 …

Today, phishing is one of the most serious cyber-security threat in which attackers steal
sensitive information such as personal identification number (PIN), credit card details, login …

Nowadays, many anti-phishing systems are being developed to identify phishing contents in
online communication systems. Despite the availability of myriads anti-phishing systems …

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

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 …

There exists many anti-phishing techniques which use source code-based features and third
party services to detect the phishing sites. These techniques have some limitations and one …