Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …

In recent years due to the inevitable growth of Internet technologies, almost all the real-world
systems are transferred to digital platforms. This increases the use of cyberspace in every …

We propose a novel classification model that consists of features of website URLs and
content for automatically detecting Chinese phishing e-Business websites. The model …

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 recent years, phishing attacks have become more intelligent and more challenging to
detect using typical phishing methods. Moreover, attackers have leveraged some web …

Phishers sometimes exploit users' trust of a known website's appearance by using a similar
page that looks like the legitimate site. In recent times, researchers have tried to identify and …

The phishing website has evolved as a major cybersecurity threat in recent times. The
phishing websites host spam, malware, ransomware, drive-by exploits, etc. A phishing …

With the increasing rate and catastrophic consequences of phishing attacks, research on
anti-phishing solutions has gained growing importance in information security. Security risks …

The number of phishing sites is increasing and becoming a problem. General phishing sites
often have very short lives. Phishers are thought to construct phishing sites using tools such …

Phishing websites are typical starting points of online social engineering attacks, including
many recent online scams. The attackers develop web pages mimicking legitimate websites …