Research Article
Application-Level Unsupervised Outlier-Based Intrusion Detection and Prevention
Table 3
R-precision (%) for different distance function (DF) and k-nearest neighbors (LOF.k) values.
| LOF.k | 50 | 60 | 70 | 80 | 90 | 100 | 150 | 250 | 400 | 700 | 850 | 1000 | 1250 | 1500 | DF |
| Clark | 14.10 | 14.10 | 58.97 | 75.64 | 76.92 | 82.05 | 89.74 | 96.15 | 97.44 | 97.44 | 94.87 | 93.59 | 92.31 | 92.31 | Euclidean | 70.51 | 78.21 | 87.18 | 85.90 | 76.92 | 76.92 | 67.95 | 55.13 | 44.87 | 35.90 | 92.31 | 92.31 | 92.31 | 92.31 | Manhattan | 69.23 | 69.23 | 74.36 | 74.36 | 65.38 | 60.26 | 55.13 | 46.15 | 38.46 | 26.92 | 92.31 | 92.31 | 92.31 | 92.31 | Pearson | 34.62 | 61.54 | 88.46 | 88.46 | 88.46 | 87.18 | 84.62 | 83.33 | 75.64 | 61.54 | 91.03 | 91.03 | 91.03 | 84.62 |
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