The objective of paper is to detect phishing URLs using machine learning algorithms.
Phishing is a fraudulent activity that involves tricking users into giving away sensitive …

Phishing attacks continue to pose a threat to the internet users due to the consequences
they bring, including the compromise of sensitive information, financial harm and …

Phishing is among the most concerning issues in a constantly changing world. The
increasing use of the Internet has led to a new way of stealing data, known as cybercrime …

This work explores the use of advanced Natural Language Processing (NLP) techniques
with machine learning algorithms to enhance the detection of phishing URLs. The intricacy …

Phishing attacks have become increasingly common in recent years, with cybercriminals
using a variety of techniques to trick unsuspecting victims into providing sensitive …

The term phishing is mainly defined as impersonating activities with the site which is used by
hackers to steal personal as well as professional data and information. The personal data …

Phishing represents a deceitful interaction where an assailant attempts to acquire delicate
data from the person in question. Phishing is a sort of digital assault, where the attacker …

Phishing is a rapidly increasing threat to the modern internet where phisher mimics a legit
web-page to get user into the phishers cage. The aim of phisher is to get sensitive records or …

Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

Background: Phishing attacks continue to pose a significant threat to internetsecurity. One of
the most common forms of phishing is through URLs, whereattackers disguise malicious …