Web Based Anomaly Detection Using Zero-Shot Learning With CNN

Keyphrases

• Imbalanced Data 100%
• Anomaly Detection 100%
• Web-based 100%
• CNN Model 100%
• Zero-shot Learning 100%
• Web Requests 100%
• Convolutional Neural Network 50%
• False Positive Rate 50%
• Autoencoder 50%
• Web Application 50%
• One-class Support Vector Machine (OCSVM) 50%
• Dropout 50%
• Internet Banking 50%
• Data Issues 50%
• Denoising Autoencoder 50%
• Isolation Forest 50%
• Web Security 50%
• Code Embedding 50%
• True Positive Rate 50%
• Hybrid Data 50%
• Learning Methods 50%
• Unseen 50%
• Persistent Threats 50%

Computer Science

• Convolutional Neural Network 100%
• Anomaly-Based Detection 100%
• Autoencoder 40%
• Malicious Request 40%
• Web Application 40%
• Open Source 20%
• False Positive Rate 20%
• de-noising 20%
• Application Security 20%
• Persistent Threat 20%
• True Positive Rate 20%
• One-Class SVM 20%