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...

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Bibliographic Details
Main Authors: Sam-Shin Shin, Seung-Goo Ji, Sung-Sam Hong
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/23/12070

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