A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features
Transport Layer Security (TLS) based malware is one of the most hazardous malware types, as it relies on encryption to conceal connections. Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to detect TLS-based malware using different feature...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2022
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/28740/1/JICT%2021%2003%202022%20279-313.pdf https://doi.org/10.32890/jict2022.21.3.1 https://repo.uum.edu.my/id/eprint/28740/ https://e-journal.uum.edu.my/index.php/jict/article/view/14434 https://doi.org/10.32890/jict2022.21.3.1 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |