In this paper, a novel approach based on non-inverse matrix online sequence extreme
learning machine (NIOSELM) for phishing detection is presented, which takes into account …

Phishing is a type of social web-engineering attack in cyberspace where criminals steal
valuable data or information from insensitive or uninformed users of the internet. Existing …

Increasing high volume phishing attacks are being encountered every day due to attackers'
high financial returns. Recently, there has been significant interest in applying machine …

Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick
users into downloading malware or providing personally sensitive information to attackers …

In real-world scenarios, the number of phishing and benign emails is usually imbalanced,
leading to traditional machine learning or deep learning algorithms being biased towards …

With the rapid development of Internet, phishing and other frauds are becoming more and
more serious. Criminals posing as banks, electricity providers, social networking sites to …

Phishing attack is now a big threat to people's daily life and networking environment.
Through disguising illegal URLs as legitimate ones, attackers can induce users to visit the …

Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …

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 …

The continuous development of network technologies plays a major role in increasing the
utilization of these technologies in many aspects of our lives, including e-commerce …