Optimizing malware detection and prevention on proxy servers through random forest and lexical feature analysis
Malware has become a significant concern due to the increase in malicious websites hosting spam, phishing, malware, and other threats. This research aims to predict malware URLs using lexical features for feature extraction and random forest for classification. The dataset, sourced from kaggle.com,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universitas Sampoerna
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/121082/7/121082_Optimizing%20Malware%20Detection%20and%20Prevention%20on%20Proxy%20Servers.pdf http://irep.iium.edu.my/121082/ https://ojs.sampoernauniversity.ac.id/index.php/IJOCED/issue/view/37 |
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