Machine learning-based malicious URL detection using feature selection techniques and WHOIS features
Suvarna Pawar
In today's cybersecurity landscape, malicious Uniform Resource Locators (URLs) continue to pose a serious threat, as they can be used to deliver malware, phishing, and unauthorized data access, all of which can result in significant financial and reputational losses. Innovative, data-driven methods must be developed because traditional detection methods, such as blacklisting and rule-based detection, cannot detect newly created, obfuscated, and temporary URLs. We aimed to create a consistent met