Experts still needed: boosting long-term android malware detection with active learning

Computer Science

• Active Learning 100%
• Adversarial Machine Learning 20%
• Android Malware 100%
• Based Active Learning 20%
• Building-Blocks 20%
• Concept Drift 40%
• Detection Accuracy 20%
• Detection Performance 40%
• Feature Space 20%
• Knowledge Database 20%
• Learning Approach 20%
• Learning System 20%
• Machine Learning 20%
• Malware 20%
• Malware Detection 100%
• Mobile Malware 20%
• Production Environment 20%

Keyphrases

• Data Balancing Technique 50%
• Historical Timeline 50%
• Model Detection 50%
• Noisy Labeling 50%
• Non-stationary Models 50%
• Timestamping 50%