OutCenTR: A method for predicting exploits of cyber vulnerabilities in high dimensional datasets

Computer Science

• High Dimensionality 100%
• Class Imbalance 100%
• Training Data 100%
• Execution Time 50%
• Security Management 50%
• Synthetic Datasets 50%
• System Administrator 50%
• Experimental Result 50%
• Outlier Detection 50%
• Reported Vulnerability 50%

Keyphrases

• Vulnerability 100%
• High-dimensional Data 100%
• Cyber Vulnerability 100%
• Training Data 28%
• High Dimension 28%
• Context-based 14%
• Cybersecurity 14%
• Precision-recall 14%
• Existing Algorithms 14%
• Execution Time 14%
• Synthetic Data 14%
• Class Imbalance 14%
• Outlier Detection 14%
• State-of-the-art Techniques 14%
• Publicly Available Dataset 14%
• Semi-supervised Method 14%
• System Administrator 14%
• F1 Score 14%
• Challenging Problems 14%
• Problems in Practice 14%
• Limited Labeled Data 14%
• Class Imbalance Issue 14%
• Distinguishability 14%