A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features

• Main Authors: Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2022
• Subjects: QA75 Electronic computers. Computer science
• 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
• Institution: Universiti Utara Malaysia

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...