Segment-based anomaly detection with approximated sample covariance matrix in wireless sensor networks

Keyphrases

• Anomaly Detection 100%
• Segment-based 100%
• Wireless Sensor Networks 100%
• Sample Covariance Matrix 100%
• Communication Cost 66%
• Spatial Analysis 33%
• Numerical Experiments 33%
• Random Variables 33%
• Covariance Matrix 33%
• Behaving 33%
• Point-based 33%
• Centralized Approach 33%
• Intel 33%
• Spearman Rank Correlation 33%
• Sensor Node 33%
• Berkeley 33%
• Anomaly Detection System 33%
• Abnormal Events 33%
• Differential Compression 33%
• Spatial Predictability 33%
• Prediction Variance 33%

Computer Science

• Anomaly-Based Detection 100%
• Wireless Sensor Network 100%
• Sample Covariance Matrix 100%
• Communication Cost 66%
• Data Handling 33%
• Anomaly Detection 33%
• Random Variable 33%
• Sensor Node 33%
• Data Segment 33%
• Covariance Matrix 33%
• Centralized Approach 33%

Mathematics

• Sample Covariance Matrix 100%
• Wireless Sensor Network 100%
• Wide Range 33%
• Covariance Matrix 33%
• Real-World Data 33%
• Prediction Variance 33%
• Spearman's Rank Correlation Coefficient 33%
• Numerical Experiment 33%
• Periodic Time 33%
• Sensor Node 33%
• Random Variable 33%