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Outlier Classification Criterion for Multivariate Cyber Anomaly Detection.
| 题名： | Outlier Classification Criterion for Multivariate Cyber Anomaly Detection. |
| 作者： | Trigo, A. M. |
| 关键词： | Multivariate analysis, Anomaly detection, Cybersecurity, Factor analysis, Outlier classification, Cyber anomaly detection, Chi-square q-q plot-based classification criteria, Mvn (multivariate normality) |
| 摘要： | Every day, intrusion detection systems catalogue millions of unsupervised data entries. This represents a big data problem for research sponsors within the Department of Defense. In a first response to this issue, raw data capture was transformed into usable vectors and an array of multivariate techniques implemented to detect potential outliers |
| 报告类型： | 科技报告 |
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