When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification

Keyphrases

• Machine Learning Approach 100%
• Classical Machine Learning 100%
• Deep Learning Methods 100%
• Deep Machine Learning 100%
• Malware Traffic Classification 100%
• Machine Learning Based 66%
• Quality of Experience 66%
• Deep Learning Model 66%
• Quality of Service 33%
• Trend Analysis 33%
• Machine Learning Models 33%
• Traditional Machine Learning 33%
• Malware Detection 33%
• Intrusion Detection 33%
• Malware Family Classification 33%
• Classification Detection 33%
• Traffic Trends 33%
• Zero-day Attacks 33%
• Network Traffic Classification 33%
• Malicious Traffic Classification 33%

Computer Science

• Malware 100%
• Machine Learning Approach 100%
• Convolutional Neural Network 100%
• Traffic Classification 100%
• Deep Learning 100%
• Machine Learning 50%
• Quality of Service 16%
• Malware Family 16%
• Malware Detection 16%
• Intrusion Detection 16%
• Zero-Day Attack 16%
• Quality-of-Experience 16%
• Internet Traffic 16%
• Trend Analysis 16%