Machine Learning Approaches in Cyber Security Analytics by Tony Thomas & Athira P. Vijayaraghavan & Sabu Emmanuel

Author:Tony Thomas & Athira P. Vijayaraghavan & Sabu Emmanuel
Language: eng
Format: epub
ISBN: 9789811517068
Publisher: Springer Singapore

Using DBSCAN, we obtain the labels as . In our case indicates outliers, 0 indicates goodware, and 1 indicates malware. But there might be situations where more than two labels are used by the classifier. Thus are just indicators of the labels. The number of classes the clustering results in depends on the eps () value and the minsamples (minPts) of samples to be included in a cluster while clustering. We may modify the algorithm by finding the optimal value of eps.

Out of the 217 data points, 145 data points were used for training and the remaining 72 were used for testing. The results obtained are given below.

1.Actual labels of the test set are

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