Hands-On Machine Learning for Cybersecurity

Importing packages

We use the machine learning/data science packages such as numpy, sklearn, pandas, and matplotlib for visualization:

from time import time import numpy as np import matplotlib.pyplot as plt import pandas as pd from sklearn.model_selection import cross_val_score

To implement the isolation forest, we use the sklearn.ensemble package:

from sklearn.ensemble import IsolationForest

To measure the performance, we use the ROC and AUC, and we will discuss these in details in a later part of this chapter.

The following code imports the relevant packages and loads the KDD data:

 from sklearn.metrics import roc_curve, auc from sklearn.datasets import fetch_kddcup99 %matplotlib inlinedataset = fetch_kddcup99(subset=None, shuffle=True, ...