Enhancing phishing detection with advanced ensemble learning techniques
Phishing attacks contribute to over 90% of data breaches, posing a severe cybersecurity threat by tricking users into divulging sensitive information. Traditional detection methods, such as blacklists and heuristic-based approaches, are often ineffective against new phishing websites due to their ra...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit Universiti Malaysia Sabah
2025
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/44866/1/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/44866/ |
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