Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation

Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat by carrying out attacks such as phishing and malware propagation. Conventional malicious URL detection methods, relying on blacklists and heuristics, often struggle to identify new and obfuscated malicious URLs. To ad...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ahmad Sahban Rafsanjani, Norshaliza Binti Kamaruddin, Mehran Behjati, Saad Aslam, Aaliya Sarfaraz, Angela Amphawan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Malicious URL detection phishing malware network security feature extraction cyber threats
Linkit:	https://ieeexplore.ieee.org/document/10552700/
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