Malicious Uniform Resource Locators (URLs) are the major issue posed by cybersecurity
threats. Cyberattackers spread malicious URLs to carry out attacks such as phishing and …

The unique nature of website URLs has made phishing detection a challenging task. Unlike
natural language, URLs have an unstructured nature with non-linear and sophisticated …

Currently, the increasing number of high-volume phishing attacks is among the largest
threats to networking environments on a daily basis. During such a severe attack …

Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat by
carrying out attacks such as phishing and malware propagation. Conventional malicious …

Throughout the past few years, phishing attacks have become an increasingly substantial
problem for individuals and organizations. In this non-technical attack, the victim is deceived …

The potential of text analytics is revealed by Machine Learning (ML) and Natural Language
Processing (NLP) techniques. In this paper, we propose an NLP framework that is applied to …

Abstract Natural Language Processing (NLP) and Deep Learning (DL) have achieved
remarkable results in various fields and have also been proven to be effective in detecting …

Cybersecurity-related solutions have become familiar since it ensures security and privacy
against cyberattacks in this digital era. Malicious Uniform Resource Locators (URLs) can be …

The advent of the internet has facilitated the wide spread of online disinformation and thus
poses severe threats to the trustworthiness of cyberspace. Two types of methods are …

Attackers perform malicious activities by sending URL s to victims via e-mail, SMS, social
network messages, and other means. Recently, intruders have been generating malicious …