Reducing False Negatives in Ransomware Detection: A Critical Evaluation of Machine Learning Algorithms

Keyphrases

• Machine Learning Algorithms 100%
• Ransomware 100%
• Ransomware Detection 100%
• Machine Learning Models 50%
• Ransomware-as-a-service 50%
• Detection System 25%
• High Profile 25%
• Service Model 25%
• Technical Ability 25%
• System Architecture 25%
• Anonymity 25%
• Confidentiality 25%
• Criminal 25%
• Confusion Matrix 25%
• Low-precision 25%
• Artificial Neural Network Model 25%
• Cybercrime 25%
• Net Benefit 25%
• Technological Achievements 25%
• Malware 25%
• Ransomware Attacks 25%
• False Negative Rate 25%
• Random Forest Regression 25%
• Ransom 25%
• Backup System 25%

Computer Science

• Machine Learning Algorithm 100%
• Malware 100%
• Critical Evaluation 100%
• False Negative 100%
• Machine Learning 20%
• Learning System 20%
• Neural Network Model 10%
• Artificial Neural Network 10%
• False Positive 10%
• Anonymity 10%
• Confusion Matrix 10%
• Service Model 10%
• System Architectures 10%
• Random Decision Forest 10%
• Cybercriminals 10%