Cyber threat intelligence-based malicious URL detection model using ensemble learning
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are visiting these applications to accomplish their daily tasks. However, many of these applications are either vulnerable to web defacement attacks or creat...
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Main Authors: | Mohammed Alsaedi, Mohammed Alsaedi, Abdoh Ghaleb, Fuad Abdulgaleel, Saeed, Faisal, Ahmad, Jawad, Mohammed Alasli, Mohammed Alasli |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/104018/1/FuadAbdulgaleelAbdoh2022_CyberThreatIntelligenceBasedMalicious.pdf http://eprints.utm.my/104018/ http://dx.doi.org/10.3390/s22093373 |
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