Comparative analysis of machine learning classifiers for phishing detection
In recent years, communication over the Internet has become the most effective media for leveraging social interactions during the COVID-19 pandemic. Nevertheless, the rapid increase use of digital platforms has led to a significant growth of Phishing Attacks. Phishing attacks are one of the most co...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39337/1/Comparative%20analysis%20of%20machine%20learning%20classifiers%20for%20phishing%20detection.pdf http://umpir.ump.edu.my/id/eprint/39337/2/Comparative%20analysis%20of%20machine%20learning%20classifiers%20for%20phishing%20detection_ABS.pdf |