A Heterogeneous Machine Learning Ensemble Framework for Malicious Webpage Detection
The growing dependence on digital systems has heightened the risks posed by cybersecurity threats. This paper proposes a new method for detecting malicious webpages among several adversary activities. As shown in previous studies, malicious URL detection performance is significantly affected by the...
Main Authors: | Sam-Shin Shin, Seung-Goo Ji, Sung-Sam Hong |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/23/12070 |
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