Over the decade, technology has presented human facets with easiest means of
accomplishing complex tasks seamlessly, especially in the area of communication …

Over the decade, technology has presented human facets with easiest means of
accomplishing complex tasks seamlessly, especially in the area of communication …

The dynamic and sophisticated nature of phishing attacks, coupled with the relatively weak
anti-phishing tools, has made phishing detection a pressing challenge. In light of this, new …

The digital landscape is continually evolving, bringing with it numerous cybersecurity
challenges, notably the rise of phishing websites targeting unsuspecting users. These …

This paper proposes a new feature selection framework for machine learning-based
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …

Phishing is a prevalent and evolving cyber threat that continues to exploit human
vulnerability to deceive individuals and organizations into revealing sensitive information …

Phishing is currently one of the severest cybersecurity challenges facing the
cybercommunity. Either during good times or bad times, phishers exploit the vulnerabilities …

A New Ensemble Model for Phishing Detection Based on Hybrid Cumulative Feature
Selection (PDCFS) proposes a model that partitions the main dataset into n partitions based …

This Machine-learning-based phishing detection employs statistical models and algorithms
to assess and recognise phishing attacks. These algorithms can learn patterns and features …

Phishing is a fraudulent technique that involves creating a malicious website or link to trick
people into revealing sensitive information such as passwords, financial details, or personal …