People are increasingly sharing their details online as internet usage grows. Therefore,
fraudsters have access to a massive amount of information and financial activities. The …

In past few years, various fraudulent online websites have been created by attackers to
imitate trustworthy websites, in order to gain private information from users and …

Phishing is one of the most dangerous threats in which a hacker imitates a person, company
or government agency to lure and deceive their victims. Machine learning anti-phishing …

With a rapid growth in global networking, the online users are vulnerable to different kinds of
attacks, phishing being prevalent among them. Phishing is the type of attack where the …

Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …

Phishing is a social engineering method to steal user credentials through data entry forms
from malicious websites. Currently available anti-malware softwares can only detect black …

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 …

Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …

As the world responded to the Coronavirus Disease 2019 (COVID-19) pandemic in 2020,
digital operations became more important, and people started to depend on new initiatives …

Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …