Malicious URL detection is an emerging research area due to the continuous modernization
of various systems, for instance, Edge Computing. This article presents a novel malicious …

ABSTRACT The World Wide Web has become an important part of our everyday life for
information communication and knowledge dissemination. It helps to transact information …

With the development of Internet technology, network security is under diverse threats. In
particular, attackers can spread malicious uniform resource locators (URL) to carry out …

The traditional malicious uniform resource locator (URL) detection method excessively relies
on the matching rules formulated by the network security personnel, which is hard to fully …

Malicious URLs are one of the biggest threats to this digital world and preventing it is one of
the challenging tasks in the domain of cyber security. Previous research to tackle malicious …

Since the web service is essential in daily lives, cyber security becomes more and more
important in this digital world. Malicious Uniform Resource Locator (URL) is a common and …

As the source of spamming, phishing, malware and many more such attacks, malicious URL
is a chronic and complicated problem on the Internet. Machine learning approaches have …

Due to developing Internet-based technologies, the number of online domains and URLs is
increasing globally. Parallel several cybersecurity threats and phishing attacks have been …

Machine learning techniques, especially deep learning neuron networks have been
increasingly applied to solve the problems relating to information security and cybersecurity …

Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …