In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, and …

Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

Phishing is a kind of online attack that attempts to defraud sensitive information of network
users. Current phishing webpage detection methods mainly use manual feature collection …

Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …

Phishing is an attack that deceit online users by means of masquerading as a genuine
website to pilfer their classified or personal information. This is one among the recognized …

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 …

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 …

Security attacks on legitimate websites to steal users' information, known as phishing
attacks, have been increasing. This kind of attack does not just affect individuals' or …

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' …

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