Robust tomography via network traffic maps leveraging sparsity and low rank

Keyphrases

• Sparsity 100%
• Network Traffic 100%
• Low-rank 100%
• Tomography 100%
• Traffic Maps 100%
• Traffic Correlation 100%
• Management Security 50%
• Bayesian Approach 50%
• Network Management 50%
• Historical Data 50%
• Cyclostationary 50%
• Stationary Point 50%
• Simulation Test 50%
• Temporal Correlation 50%
• L1-norm 50%
• Bilinear 50%
• Nonconvex Problem 50%
• Level Measurement 50%
• Nonconvex Optimization Problems 50%
• Component-based 50%
• Flow-level 50%
• Regularizer 50%
• Traffic State 50%
• Flow Count 50%
• Anomalous Traffic 50%
• Proactive Security 50%
• Destination Network 50%
• Through Traffic 50%
• Major Challenges 50%
• Minimization Methods 50%
• Link Counts 50%
• Security Task 50%
• Majorization-minimization 50%
• Inherent Pattern 50%

Computer Science

• Sparsity 100%
• Network Traffic 100%
• Optimization Problem 50%
• Historical Data 50%
• Network Management 50%
• Proactive Security 50%
• Bayesian Approach 50%
• Stationary Point 50%
• Potential Anomaly 50%
• Destination Network 50%

Mathematics

• Potential Anomaly 100%