The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …

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 …

Phishing is one of the most widely observed types of internet cyber-attack, through which
hundreds of clients using different internet services are targeted every day through different …

In recent years, the number of malicious web pages has increased dramatically, posing a
great challenge to network security. While current machine learning-based detection …

Malicious URLs can be detected by leveraging lexical analysis and machine learning,
where the parsed components of the URL are parsed, and its features include domain …

To compute the similarity of Chinese sentences accurately, a revised Chinese sentence
similarity approach is proposed though enhancing the importance of the modifiers of stem of …

Research Article An Assessment of Lexical, Network, and Content-Based Features for
Detecting Malicious URLs Using Machine Learni Page 1 Research Article An Assessment …

Створення методик та програмних застосунків для запобігання кібератак є актуальним
завданням в галузі інформаційної безпеки. Сучасна інформаційна сфера переживає …