Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog

Keyphrases

• Advanced Persistent Threat 25%
• Anomaly Detection 100%
• Anomaly Detection System 50%
• Cloud Computing 25%
• Computation Time 25%
• Data Poisoning Attack 25%
• Detection Accuracy 25%
• Detection Rate 25%
• Dirichlet Mixture 100%
• False Positive Rate 25%
• Fog Computing 25%
• Fog Nodes 25%
• Internet of Cloud 25%
• Internet of Things 25%
• Large-scale Networks 25%
• Learning Process 25%
• Machine Learning Algorithms 25%
• NSL-KDD 25%
• Self-adaptive 25%
• Software-as-a-service 25%
• Statistical Learning 100%
• Statistical Learning Algorithms 50%
• Streaming Data 25%
• Threat Actors 25%
• Training Phase 25%
• UNSW-NB15 Dataset 25%
• Zero-day Attacks 25%

Computer Science

• Advanced Persistent Threat 33%
• Anomaly Detection 100%
• Anomaly-Based Detection 33%
• Cloud Computing 33%
• Computational Time 33%
• Data Streaming 33%
• Detection Rate 33%
• False Positive Rate 33%
• Fog Computing 33%
• Internet-Of-Things 33%
• Learning Mechanism 33%
• Learning Process 33%
• Machine Learning Algorithm 33%
• Proposed Mechanism 33%
• software as a service 33%
• Training Phase 33%
• Zero-Day Attack 33%